R Notebook

#if (!requireNamespace("BiocManager", quietly = TRUE))
    #install.packages("BiocManager")
#BiocManager::install("ClusterSignificance")
library(ClusterSignificance)

Read data

TSNEdata=read.table('TSNE.csv',row.names=1,header=TRUE, sep=",", stringsAsFactors = FALSE,  dec=".", fill=TRUE)
UMAPdata=read.table('umap.csv',row.names=1,header=TRUE, sep=",", stringsAsFactors = FALSE,  dec=".", fill=TRUE)
head(UMAPdata)

head(TSNEdata)

##Compare GANs versus respective RAWs

dophenotype <- function (data, classes, label){
   ## Permute and plot. Using "method"
  pe <- permute(
      mat = data, 
      n=n,
      iter = iterations, 
      classes = classes, 
      projmethod = method,
      verbose=FALSE)
  its=0
  solved=FALSE
  while(solved==FALSE){
      its=its+1
      pe1 <- permute(
          mat = data, 
          n=n,
          iter = iterations, 
          classes = classes, 
          projmethod = method,
          seed=i*iterations,
          verbose=FALSE)
      #assimilate all loops
      pe<-c(pe,pe1)
      text<-paste(label,". Now real iteration:" ,its*iterations)
      print(text)
      print(ClusterSignificance::pvalue(pe))
      print(conf.int(pe, conf.level = 0.95))
      flush.console()
      labs<-unique(classes)
      real=pe@scores.real$"GAN vs RAW"
      simulated=pe@scores.vec$"GAN vs RAW"
      beats<-simulated-real
      perhits <- length(beats[beats>0])
      text<-paste(perhits," Hits so far")
      print(text)
      flush.console()
      pedebug <<-pe
      if ((perhits>0) & (its*iterations>minit)) {solved=TRUE}
      if(its*iterations>maxit){solved=TRUE}
}
return(pe)
} 

for (pheno in seq(1,5)){
  i <- ((pheno-1)*4)+1
  j <- ((pheno-1)*4)+2
  k <- ((pheno-1)*4)+3
  l <- ((pheno-1)*4)+4
  
  label <- paste(use,"clustering, ",method," using  ", i,":",j," and ", k,":",l, ". Now real iteration:" ,sep="")
  print(label)
  #get data and loose any NA
  CON=MANdata[,i:j]
  CON= CON[complete.cases(CON), ]
  names(CON)=c("X","Y")
  TEST=MANdata[,k:l]
  TEST= TEST[complete.cases(TEST), ]
  names(TEST)=c("X","Y")
  # For fair test don't tell Kmeans algo we have two pops ;-)
  data<-rbind(CON,TEST)
  data<-as.matrix(data)
  class1<-rep("GAN", nrow(TEST))
  class2<-rep("RAW",nrow(CON))
  classes=cbind(t(class1),t(class2))[1,]  
  pe<-dophenotype(data,classes,label)
  title<-paste("pheno=",pheno)
  plot(pe,sub=title)
  ClusterSignificance::pvalue(pe)
  conf.int(pe, conf.level = 0.95)
  line <- paste0(label,"\n",ClusterSignificance::pvalue(pe))
  write(line,file="autoGANvRAWoutput.txt",append=TRUE)
  write(conf.int(pe, conf.level = 0.95),file="autoGANvRAWoutput.txt",append=TRUE)
}

[1] "TSNEdata clustering, mlp using  1:2 and 3:4. Now real iteration:"

100 iterations were sucessfully completed for comparison GAN vs RAW
100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  1:2 and 3:4. Now real iteration: . Now real iteration: 100"
GAN vs RAW 
      0.57 
           GAN vs RAW
CI95%-low   0.4982792
CI95%-high  0.6396144
[1] "114  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  1:2 and 3:4. Now real iteration: . Now real iteration: 200"
GAN vs RAW 
      0.57 
           GAN vs RAW
CI95%-low   0.5118521
CI95%-high  0.6267516
[1] "171  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  1:2 and 3:4. Now real iteration: . Now real iteration: 300"
GAN vs RAW 
      0.57 
           GAN vs RAW
CI95%-low   0.5198658
CI95%-high  0.6190909
[1] "228  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  1:2 and 3:4. Now real iteration: . Now real iteration: 400"
GAN vs RAW 
      0.57 
           GAN vs RAW
CI95%-low   0.5252988
CI95%-high  0.6138687
[1] "285  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  1:2 and 3:4. Now real iteration: . Now real iteration: 500"
GAN vs RAW 
      0.57 
           GAN vs RAW
CI95%-low   0.5292899
CI95%-high  0.6100178
[1] "342  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  1:2 and 3:4. Now real iteration: . Now real iteration: 600"
GAN vs RAW 
      0.57 
           GAN vs RAW
CI95%-low   0.5323801
CI95%-high  0.6070275
[1] "399  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  1:2 and 3:4. Now real iteration: . Now real iteration: 700"
GAN vs RAW 
      0.57 
           GAN vs RAW
CI95%-low   0.5348633
CI95%-high  0.6046190
[1] "456  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  1:2 and 3:4. Now real iteration: . Now real iteration: 800"
GAN vs RAW 
      0.57 
           GAN vs RAW
CI95%-low   0.5369150
CI95%-high  0.6026253
[1] "513  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  1:2 and 3:4. Now real iteration: . Now real iteration: 900"
GAN vs RAW 
      0.57 
           GAN vs RAW
CI95%-low   0.5386470
CI95%-high  0.6009397
[1] "570  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  1:2 and 3:4. Now real iteration: . Now real iteration: 1000"
GAN vs RAW 
      0.57 
           GAN vs RAW
CI95%-low   0.5401342
CI95%-high  0.5994904
[1] "627  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  1:2 and 3:4. Now real iteration: . Now real iteration: 1100"
GAN vs RAW 
      0.57 
           GAN vs RAW
CI95%-low   0.5414293
CI95%-high  0.5982268
[1] "684  Hits so far"
[1] "TSNEdata clustering, mlp using  5:6 and 7:8. Now real iteration:"

100 iterations were sucessfully completed for comparison GAN vs RAW
100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  5:6 and 7:8. Now real iteration: . Now real iteration: 100"
GAN vs RAW 
     0.945 
           GAN vs RAW
CI95%-low   0.9037224
CI95%-high  0.9722277
[1] "189  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  5:6 and 7:8. Now real iteration: . Now real iteration: 200"
GAN vs RAW 
 0.9433333 
           GAN vs RAW
CI95%-low   0.9108196
CI95%-high  0.9666467
[1] "283  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  5:6 and 7:8. Now real iteration: . Now real iteration: 300"
GAN vs RAW 
    0.9425 
           GAN vs RAW
CI95%-low   0.9149684
CI95%-high  0.9632045
[1] "377  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  5:6 and 7:8. Now real iteration: . Now real iteration: 400"
GAN vs RAW 
     0.942 
           GAN vs RAW
CI95%-low   0.9177618
CI95%-high  0.9608161
[1] "471  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  5:6 and 7:8. Now real iteration: . Now real iteration: 500"
GAN vs RAW 
 0.9416667 
           GAN vs RAW
CI95%-low   0.9198031
CI95%-high  0.9590360
[1] "565  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  5:6 and 7:8. Now real iteration: . Now real iteration: 600"
GAN vs RAW 
 0.9414286 
           GAN vs RAW
CI95%-low   0.9213771
CI95%-high  0.9576439
[1] "659  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  5:6 and 7:8. Now real iteration: . Now real iteration: 700"
GAN vs RAW 
   0.94125 
           GAN vs RAW
CI95%-low   0.9226378
CI95%-high  0.9565170
[1] "753  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  5:6 and 7:8. Now real iteration: . Now real iteration: 800"
GAN vs RAW 
 0.9411111 
           GAN vs RAW
CI95%-low   0.9236763
CI95%-high  0.9555806
[1] "847  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  5:6 and 7:8. Now real iteration: . Now real iteration: 900"
GAN vs RAW 
     0.941 
           GAN vs RAW
CI95%-low   0.9245509
CI95%-high  0.9547866
[1] "941  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  5:6 and 7:8. Now real iteration: . Now real iteration: 1000"
GAN vs RAW 
 0.9409091 
           GAN vs RAW
CI95%-low   0.9253004
CI95%-high  0.9541024
[1] "1035  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  5:6 and 7:8. Now real iteration: . Now real iteration: 1100"
GAN vs RAW 
 0.9408333 
           GAN vs RAW
CI95%-low   0.9259518
CI95%-high  0.9535047
[1] "1129  Hits so far"

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration:"

100 iterations were sucessfully completed for comparison GAN vs RAW
100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 100"
GAN vs RAW 
     0.005 
           GAN vs RAW
CI95%-low  0.00000000
CI95%-high 0.01827534
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 200"
 GAN vs RAW 
0.003333333 
           GAN vs RAW
CI95%-low  0.00000000
CI95%-high 0.01222097
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 300"
GAN vs RAW 
    0.0025 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.009179805
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 400"
GAN vs RAW 
     0.002 
           GAN vs RAW
CI95%-low  0.00000000
CI95%-high 0.00735061
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 500"
 GAN vs RAW 
0.001666667 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.006129271
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 600"
 GAN vs RAW 
0.001428571 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.005255967
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 700"
GAN vs RAW 
   0.00125 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.004600485
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 800"
 GAN vs RAW 
0.001111111 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.004090367
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 900"
GAN vs RAW 
     0.001 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.003682084
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 1000"
  GAN vs RAW 
0.0009090909 
           GAN vs RAW
CI95%-low  0.00000000
CI95%-high 0.00334791
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 1100"
  GAN vs RAW 
0.0008333333 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.003069346
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 1200"
  GAN vs RAW 
0.0007692308 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.002833577
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 1300"
  GAN vs RAW 
0.0007142857 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.002631446
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 1400"
  GAN vs RAW 
0.0006666667 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.002456231
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 1500"
GAN vs RAW 
  0.000625 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.002302894
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 1600"
  GAN vs RAW 
0.0005882353 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.002167576
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 1700"
  GAN vs RAW 
0.0005555556 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.002047279
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 1800"
  GAN vs RAW 
0.0005263158 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001939632
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 1900"
GAN vs RAW 
     5e-04 
           GAN vs RAW
CI95%-low  0.00000000
CI95%-high 0.00184274
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 2000"
  GAN vs RAW 
0.0004761905 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001755067
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 2100"
  GAN vs RAW 
0.0004545455 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001675358
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 2200"
  GAN vs RAW 
0.0004347826 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001602575
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 2300"
  GAN vs RAW 
0.0004166667 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001535852
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 2400"
GAN vs RAW 
     4e-04 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001474464
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 2500"
  GAN vs RAW 
0.0003846154 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001417794
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 2600"
  GAN vs RAW 
0.0003703704 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001365319
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 2700"
  GAN vs RAW 
0.0003571429 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001316589
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 2800"
  GAN vs RAW 
0.0003448276 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001271219
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 2900"
  GAN vs RAW 
0.0003333333 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001228871
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 3000"
  GAN vs RAW 
0.0003225806 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001189253
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 3100"
GAN vs RAW 
 0.0003125 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001152111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 3200"
  GAN vs RAW 
0.0003030303 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001117218
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 3300"
  GAN vs RAW 
0.0002941176 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001084376
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 3400"
  GAN vs RAW 
0.0002857143 
           GAN vs RAW
CI95%-low  0.00000000
CI95%-high 0.00105341
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 3500"
  GAN vs RAW 
0.0002777778 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001024164
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 3600"
  GAN vs RAW 
0.0002702703 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0009964976
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 3700"
  GAN vs RAW 
0.0002631579 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0009702867
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 3800"
  GAN vs RAW 
0.0002564103 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0009454193
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 3900"
GAN vs RAW 
   0.00025 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0009217947
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 4000"
  GAN vs RAW 
0.0002439024 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0008993221
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 4100"
  GAN vs RAW 
0.0002380952 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.000877919
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 4200"
  GAN vs RAW 
0.0002325581 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0008575111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 4300"
  GAN vs RAW 
0.0002272727 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0008380304
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 4400"
  GAN vs RAW 
0.0002222222 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0008194151
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 4500"
  GAN vs RAW 
0.0002173913 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0008016089
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 4600"
 GAN vs RAW 
0.000212766 
           GAN vs RAW
CI95%-low  0.00000000
CI95%-high 0.00078456
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 4700"
  GAN vs RAW 
0.0002083333 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0007682213
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 4800"
  GAN vs RAW 
0.0002040816 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0007525492
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 4900"
GAN vs RAW 
     2e-04 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0007375038
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 5000"
  GAN vs RAW 
0.0001960784 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0007230482
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 5100"
  GAN vs RAW 
0.0001923077 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0007091483
[1] "0  Hits so far"

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration:"

100 iterations were sucessfully completed for comparison GAN vs RAW
100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 100"
GAN vs RAW 
     0.005 
           GAN vs RAW
CI95%-low  0.00000000
CI95%-high 0.01827534
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 200"
 GAN vs RAW 
0.003333333 
           GAN vs RAW
CI95%-low  0.00000000
CI95%-high 0.01222097
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 300"
GAN vs RAW 
    0.0025 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.009179805
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 400"
GAN vs RAW 
     0.002 
           GAN vs RAW
CI95%-low  0.00000000
CI95%-high 0.00735061
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 500"
 GAN vs RAW 
0.001666667 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.006129271
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 600"
 GAN vs RAW 
0.001428571 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.005255967
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 700"
GAN vs RAW 
   0.00125 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.004600485
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 800"
 GAN vs RAW 
0.001111111 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.004090367
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 900"
GAN vs RAW 
     0.001 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.003682084
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 1000"
  GAN vs RAW 
0.0009090909 
           GAN vs RAW
CI95%-low  0.00000000
CI95%-high 0.00334791
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 1100"
  GAN vs RAW 
0.0008333333 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.003069346
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 1200"
  GAN vs RAW 
0.0007692308 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.002833577
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 1300"
  GAN vs RAW 
0.0007142857 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.002631446
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 1400"
  GAN vs RAW 
0.0006666667 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.002456231
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 1500"
GAN vs RAW 
  0.000625 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.002302894
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 1600"
  GAN vs RAW 
0.0005882353 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.002167576
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 1700"
  GAN vs RAW 
0.0005555556 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.002047279
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 1800"
  GAN vs RAW 
0.0005263158 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001939632
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 1900"
GAN vs RAW 
     5e-04 
           GAN vs RAW
CI95%-low  0.00000000
CI95%-high 0.00184274
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 2000"
  GAN vs RAW 
0.0004761905 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001755067
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 2100"
  GAN vs RAW 
0.0004545455 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001675358
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 2200"
  GAN vs RAW 
0.0004347826 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001602575
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 2300"
  GAN vs RAW 
0.0004166667 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001535852
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 2400"
GAN vs RAW 
     4e-04 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001474464
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 2500"
  GAN vs RAW 
0.0003846154 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001417794
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 2600"
  GAN vs RAW 
0.0003703704 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001365319
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 2700"
  GAN vs RAW 
0.0003571429 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001316589
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 2800"
  GAN vs RAW 
0.0003448276 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001271219
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 2900"
  GAN vs RAW 
0.0003333333 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001228871
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 3000"
  GAN vs RAW 
0.0003225806 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001189253
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 3100"
GAN vs RAW 
 0.0003125 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001152111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 3200"
  GAN vs RAW 
0.0003030303 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001117218
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 3300"
  GAN vs RAW 
0.0002941176 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001084376
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 3400"
  GAN vs RAW 
0.0002857143 
           GAN vs RAW
CI95%-low  0.00000000
CI95%-high 0.00105341
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 3500"
  GAN vs RAW 
0.0002777778 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001024164
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 3600"
  GAN vs RAW 
0.0002702703 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0009964976
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 3700"
  GAN vs RAW 
0.0002631579 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0009702867
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 3800"
  GAN vs RAW 
0.0002564103 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0009454193
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 3900"
GAN vs RAW 
   0.00025 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0009217947
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 4000"
  GAN vs RAW 
0.0002439024 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0008993221
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 4100"
  GAN vs RAW 
0.0002380952 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.000877919
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 4200"
  GAN vs RAW 
0.0002325581 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0008575111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 4300"
  GAN vs RAW 
0.0002272727 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0008380304
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 4400"
  GAN vs RAW 
0.0002222222 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0008194151
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 4500"
  GAN vs RAW 
0.0002173913 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0008016089
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 4600"
 GAN vs RAW 
0.000212766 
           GAN vs RAW
CI95%-low  0.00000000
CI95%-high 0.00078456
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 4700"
  GAN vs RAW 
0.0002083333 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0007682213
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 4800"
  GAN vs RAW 
0.0002040816 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0007525492
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 4900"
GAN vs RAW 
     2e-04 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0007375038
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 5000"
  GAN vs RAW 
0.0001960784 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0007230482
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 5100"
  GAN vs RAW 
0.0001923077 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0007091483
[1] "0  Hits so far"

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration:"

100 iterations were sucessfully completed for comparison GAN vs RAW
100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 100"
GAN vs RAW 
     0.005 
           GAN vs RAW
CI95%-low  0.00000000
CI95%-high 0.01827534
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 200"
 GAN vs RAW 
0.003333333 
           GAN vs RAW
CI95%-low  0.00000000
CI95%-high 0.01222097
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 300"
GAN vs RAW 
    0.0025 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.009179805
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 400"
GAN vs RAW 
     0.002 
           GAN vs RAW
CI95%-low  0.00000000
CI95%-high 0.00735061
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 500"
 GAN vs RAW 
0.001666667 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.006129271
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 600"
 GAN vs RAW 
0.001428571 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.005255967
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 700"
GAN vs RAW 
   0.00125 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.004600485
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 800"
 GAN vs RAW 
0.001111111 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.004090367
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 900"
GAN vs RAW 
     0.001 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.003682084
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 1000"
  GAN vs RAW 
0.0009090909 
           GAN vs RAW
CI95%-low  0.00000000
CI95%-high 0.00334791
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 1100"
  GAN vs RAW 
0.0008333333 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.003069346
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 1200"
  GAN vs RAW 
0.0007692308 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.002833577
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 1300"
  GAN vs RAW 
0.0007142857 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.002631446
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 1400"
  GAN vs RAW 
0.0006666667 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.002456231
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 1500"
GAN vs RAW 
  0.000625 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.002302894
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 1600"
  GAN vs RAW 
0.0005882353 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.002167576
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 1700"
  GAN vs RAW 
0.0005555556 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.002047279
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 1800"
  GAN vs RAW 
0.0005263158 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001939632
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 1900"
GAN vs RAW 
     5e-04 
           GAN vs RAW
CI95%-low  0.00000000
CI95%-high 0.00184274
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 2000"
  GAN vs RAW 
0.0004761905 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001755067
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 2100"
  GAN vs RAW 
0.0004545455 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001675358
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 2200"
  GAN vs RAW 
0.0004347826 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001602575
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 2300"
  GAN vs RAW 
0.0004166667 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001535852
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 2400"
GAN vs RAW 
     4e-04 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001474464
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 2500"
  GAN vs RAW 
0.0003846154 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001417794
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 2600"
  GAN vs RAW 
0.0003703704 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001365319
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 2700"
  GAN vs RAW 
0.0003571429 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001316589
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 2800"
  GAN vs RAW 
0.0003448276 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001271219
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 2900"
  GAN vs RAW 
0.0003333333 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001228871
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 3000"
  GAN vs RAW 
0.0003225806 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001189253
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 3100"
GAN vs RAW 
 0.0003125 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001152111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 3200"
  GAN vs RAW 
0.0003030303 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001117218
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 3300"
  GAN vs RAW 
0.0002941176 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001084376
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 3400"
  GAN vs RAW 
0.0002857143 
           GAN vs RAW
CI95%-low  0.00000000
CI95%-high 0.00105341
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 3500"
  GAN vs RAW 
0.0002777778 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001024164
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 3600"
  GAN vs RAW 
0.0002702703 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0009964976
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 3700"
  GAN vs RAW 
0.0002631579 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0009702867
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 3800"
  GAN vs RAW 
0.0002564103 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0009454193
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 3900"
GAN vs RAW 
   0.00025 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0009217947
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 4000"
  GAN vs RAW 
0.0002439024 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0008993221
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 4100"
  GAN vs RAW 
0.0002380952 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.000877919
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 4200"
  GAN vs RAW 
0.0002325581 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0008575111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 4300"
  GAN vs RAW 
0.0002272727 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0008380304
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 4400"
  GAN vs RAW 
0.0002222222 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0008194151
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 4500"
  GAN vs RAW 
0.0002173913 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0008016089
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 4600"
 GAN vs RAW 
0.000212766 
           GAN vs RAW
CI95%-low  0.00000000
CI95%-high 0.00078456
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 4700"
  GAN vs RAW 
0.0002083333 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0007682213
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 4800"
  GAN vs RAW 
0.0002040816 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0007525492
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 4900"
GAN vs RAW 
     2e-04 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0007375038
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 5000"
  GAN vs RAW 
0.0001960784 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0007230482
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "TSNEdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 5100"
  GAN vs RAW 
0.0001923077 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0007091483
[1] "0  Hits so far"

NA
NA

##Are the GANs different to each other?

[1] "1 : 2"
[1] "1 : 3"
[1] "1 : 4"
[1] "1 : 5"
[1] "2 : 3"
[1] "2 : 4"
[1] "2 : 5"
[1] "3 : 4"
[1] "3 : 5"
[1] "4 : 5"
[1] "TSNEdata clustering, mlp using  1:2 and 5:6. Now real iteration:"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 5:6. Now real iteration: . Now real iteration: 100"
GAN_1 vs GAN_2 
         0.675 
           GAN_1 vs GAN_2
CI95%-low       0.6053463
CI95%-high      0.7393745
[1] "135  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 5:6. Now real iteration: . Now real iteration: 200"
GAN_1 vs GAN_2 
          0.66 
           GAN_1 vs GAN_2
CI95%-low       0.6033493
CI95%-high      0.7134539
[1] "198  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 5:6. Now real iteration: . Now real iteration: 300"
GAN_1 vs GAN_2 
        0.6525 
           GAN_1 vs GAN_2
CI95%-low       0.6035899
CI95%-high      0.6991343
[1] "261  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 5:6. Now real iteration: . Now real iteration: 400"
GAN_1 vs GAN_2 
         0.648 
           GAN_1 vs GAN_2
CI95%-low       0.6043586
CI95%-high      0.6898795
[1] "324  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 5:6. Now real iteration: . Now real iteration: 500"
GAN_1 vs GAN_2 
         0.645 
           GAN_1 vs GAN_2
CI95%-low       0.6052380
CI95%-high      0.6833266
[1] "387  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 5:6. Now real iteration: . Now real iteration: 600"
GAN_1 vs GAN_2 
     0.6428571 
           GAN_1 vs GAN_2
CI95%-low       0.6061034
CI95%-high      0.6784009
[1] "450  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 5:6. Now real iteration: . Now real iteration: 700"
GAN_1 vs GAN_2 
       0.64125 
           GAN_1 vs GAN_2
CI95%-low       0.6069162
CI95%-high      0.6745384
[1] "513  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 5:6. Now real iteration: . Now real iteration: 800"
GAN_1 vs GAN_2 
          0.64 
           GAN_1 vs GAN_2
CI95%-low       0.6076671
CI95%-high      0.6714130
[1] "576  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 5:6. Now real iteration: . Now real iteration: 900"
GAN_1 vs GAN_2 
         0.639 
           GAN_1 vs GAN_2
CI95%-low       0.6083571
CI95%-high      0.6688217
[1] "639  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 5:6. Now real iteration: . Now real iteration: 1000"
GAN_1 vs GAN_2 
     0.6381818 
           GAN_1 vs GAN_2
CI95%-low       0.6089908
CI95%-high      0.6666314
[1] "702  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 5:6. Now real iteration: . Now real iteration: 1100"
GAN_1 vs GAN_2 
        0.6375 
           GAN_1 vs GAN_2
CI95%-low       0.6095737
CI95%-high      0.6647504
[1] "765  Hits so far"
[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration:"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 100"
GAN_1 vs GAN_2 
         0.005 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.01827534
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 200"
GAN_1 vs GAN_2 
   0.003333333 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.01222097
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 300"
GAN_1 vs GAN_2 
        0.0025 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.009179805
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 400"
GAN_1 vs GAN_2 
         0.002 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00735061
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 500"
GAN_1 vs GAN_2 
   0.001666667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.006129271
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 600"
GAN_1 vs GAN_2 
   0.001428571 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.005255967
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 700"
GAN_1 vs GAN_2 
       0.00125 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.004600485
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 800"
GAN_1 vs GAN_2 
   0.001111111 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.004090367
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 900"
GAN_1 vs GAN_2 
         0.001 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.003682084
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 1000"
GAN_1 vs GAN_2 
  0.0009090909 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00334791
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 1100"
GAN_1 vs GAN_2 
  0.0008333333 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.003069346
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 1200"
GAN_1 vs GAN_2 
  0.0007692308 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002833577
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 1300"
GAN_1 vs GAN_2 
  0.0007142857 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002631446
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 1400"
GAN_1 vs GAN_2 
  0.0006666667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002456231
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 1500"
GAN_1 vs GAN_2 
      0.000625 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002302894
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 1600"
GAN_1 vs GAN_2 
  0.0005882353 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002167576
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 1700"
GAN_1 vs GAN_2 
  0.0005555556 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002047279
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 1800"
GAN_1 vs GAN_2 
  0.0005263158 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001939632
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 1900"
GAN_1 vs GAN_2 
         5e-04 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00184274
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 2000"
GAN_1 vs GAN_2 
  0.0004761905 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001755067
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 2100"
GAN_1 vs GAN_2 
  0.0004545455 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001675358
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 2200"
GAN_1 vs GAN_2 
  0.0004347826 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001602575
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 2300"
GAN_1 vs GAN_2 
  0.0004166667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001535852
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 2400"
GAN_1 vs GAN_2 
         4e-04 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001474464
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 2500"
GAN_1 vs GAN_2 
  0.0003846154 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001417794
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 2600"
GAN_1 vs GAN_2 
  0.0003703704 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001365319
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 2700"
GAN_1 vs GAN_2 
  0.0003571429 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001316589
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 2800"
GAN_1 vs GAN_2 
  0.0003448276 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001271219
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 2900"
GAN_1 vs GAN_2 
  0.0003333333 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001228871
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 3000"
GAN_1 vs GAN_2 
  0.0003225806 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001189253
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 3100"
GAN_1 vs GAN_2 
     0.0003125 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001152111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 3200"
GAN_1 vs GAN_2 
  0.0003030303 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001117218
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 3300"
GAN_1 vs GAN_2 
  0.0002941176 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001084376
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 3400"
GAN_1 vs GAN_2 
  0.0002857143 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00105341
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 3500"
GAN_1 vs GAN_2 
  0.0002777778 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001024164
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 3600"
GAN_1 vs GAN_2 
  0.0002702703 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009964976
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 3700"
GAN_1 vs GAN_2 
  0.0002631579 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009702867
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 3800"
GAN_1 vs GAN_2 
  0.0002564103 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009454193
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 3900"
GAN_1 vs GAN_2 
       0.00025 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009217947
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 4000"
GAN_1 vs GAN_2 
  0.0002439024 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008993221
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 4100"
GAN_1 vs GAN_2 
  0.0002380952 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.000877919
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 4200"
GAN_1 vs GAN_2 
  0.0002325581 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008575111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 4300"
GAN_1 vs GAN_2 
  0.0002272727 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008380304
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 4400"
GAN_1 vs GAN_2 
  0.0002222222 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008194151
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 4500"
GAN_1 vs GAN_2 
  0.0002173913 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008016089
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 4600"
GAN_1 vs GAN_2 
   0.000212766 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00078456
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 4700"
GAN_1 vs GAN_2 
  0.0002083333 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007682213
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 4800"
GAN_1 vs GAN_2 
  0.0002040816 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007525492
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 4900"
GAN_1 vs GAN_2 
         2e-04 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007375038
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 5000"
GAN_1 vs GAN_2 
  0.0001960784 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007230482
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 5100"
GAN_1 vs GAN_2 
  0.0001923077 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007091483
[1] "0  Hits so far"

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration:"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 100"
GAN_1 vs GAN_2 
         0.005 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.01827534
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 200"
GAN_1 vs GAN_2 
   0.003333333 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.01222097
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 300"
GAN_1 vs GAN_2 
        0.0025 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.009179805
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 400"
GAN_1 vs GAN_2 
         0.002 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00735061
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 500"
GAN_1 vs GAN_2 
   0.001666667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.006129271
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 600"
GAN_1 vs GAN_2 
   0.001428571 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.005255967
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 700"
GAN_1 vs GAN_2 
       0.00125 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.004600485
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 800"
GAN_1 vs GAN_2 
   0.001111111 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.004090367
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 900"
GAN_1 vs GAN_2 
         0.001 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.003682084
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 1000"
GAN_1 vs GAN_2 
  0.0009090909 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00334791
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 1100"
GAN_1 vs GAN_2 
  0.0008333333 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.003069346
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 1200"
GAN_1 vs GAN_2 
  0.0007692308 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002833577
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 1300"
GAN_1 vs GAN_2 
  0.0007142857 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002631446
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 1400"
GAN_1 vs GAN_2 
  0.0006666667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002456231
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 1500"
GAN_1 vs GAN_2 
      0.000625 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002302894
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 1600"
GAN_1 vs GAN_2 
  0.0005882353 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002167576
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 1700"
GAN_1 vs GAN_2 
  0.0005555556 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002047279
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 1800"
GAN_1 vs GAN_2 
  0.0005263158 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001939632
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 1900"
GAN_1 vs GAN_2 
         5e-04 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00184274
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 2000"
GAN_1 vs GAN_2 
  0.0004761905 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001755067
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 2100"
GAN_1 vs GAN_2 
  0.0004545455 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001675358
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 2200"
GAN_1 vs GAN_2 
  0.0004347826 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001602575
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 2300"
GAN_1 vs GAN_2 
  0.0004166667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001535852
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 2400"
GAN_1 vs GAN_2 
         4e-04 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001474464
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 2500"
GAN_1 vs GAN_2 
  0.0003846154 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001417794
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 2600"
GAN_1 vs GAN_2 
  0.0003703704 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001365319
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 2700"
GAN_1 vs GAN_2 
  0.0003571429 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001316589
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 2800"
GAN_1 vs GAN_2 
  0.0003448276 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001271219
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 2900"
GAN_1 vs GAN_2 
  0.0003333333 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001228871
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 3000"
GAN_1 vs GAN_2 
  0.0003225806 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001189253
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 3100"
GAN_1 vs GAN_2 
     0.0003125 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001152111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 3200"
GAN_1 vs GAN_2 
  0.0003030303 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001117218
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 3300"
GAN_1 vs GAN_2 
  0.0002941176 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001084376
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 3400"
GAN_1 vs GAN_2 
  0.0002857143 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00105341
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 3500"
GAN_1 vs GAN_2 
  0.0002777778 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001024164
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 3600"
GAN_1 vs GAN_2 
  0.0002702703 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009964976
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 3700"
GAN_1 vs GAN_2 
  0.0002631579 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009702867
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 3800"
GAN_1 vs GAN_2 
  0.0002564103 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009454193
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 3900"
GAN_1 vs GAN_2 
       0.00025 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009217947
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 4000"
GAN_1 vs GAN_2 
  0.0002439024 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008993221
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 4100"
GAN_1 vs GAN_2 
  0.0002380952 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.000877919
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 4200"
GAN_1 vs GAN_2 
  0.0002325581 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008575111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 4300"
GAN_1 vs GAN_2 
  0.0002272727 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008380304
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 4400"
GAN_1 vs GAN_2 
  0.0002222222 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008194151
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 4500"
GAN_1 vs GAN_2 
  0.0002173913 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008016089
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 4600"
GAN_1 vs GAN_2 
   0.000212766 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00078456
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 4700"
GAN_1 vs GAN_2 
  0.0002083333 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007682213
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 4800"
GAN_1 vs GAN_2 
  0.0002040816 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007525492
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 4900"
GAN_1 vs GAN_2 
         2e-04 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007375038
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 5000"
GAN_1 vs GAN_2 
  0.0001960784 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007230482
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 5100"
GAN_1 vs GAN_2 
  0.0001923077 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007091483
[1] "0  Hits so far"

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration:"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 100"
GAN_1 vs GAN_2 
         0.005 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.01827534
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 200"
GAN_1 vs GAN_2 
   0.003333333 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.01222097
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 300"
GAN_1 vs GAN_2 
        0.0025 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.009179805
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 400"
GAN_1 vs GAN_2 
         0.002 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00735061
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 500"
GAN_1 vs GAN_2 
   0.001666667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.006129271
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 600"
GAN_1 vs GAN_2 
   0.001428571 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.005255967
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 700"
GAN_1 vs GAN_2 
       0.00125 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.004600485
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 800"
GAN_1 vs GAN_2 
   0.001111111 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.004090367
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 900"
GAN_1 vs GAN_2 
         0.001 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.003682084
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 1000"
GAN_1 vs GAN_2 
  0.0009090909 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00334791
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 1100"
GAN_1 vs GAN_2 
  0.0008333333 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.003069346
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 1200"
GAN_1 vs GAN_2 
  0.0007692308 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002833577
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 1300"
GAN_1 vs GAN_2 
  0.0007142857 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002631446
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 1400"
GAN_1 vs GAN_2 
  0.0006666667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002456231
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 1500"
GAN_1 vs GAN_2 
      0.000625 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002302894
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 1600"
GAN_1 vs GAN_2 
  0.0005882353 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002167576
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 1700"
GAN_1 vs GAN_2 
  0.0005555556 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002047279
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 1800"
GAN_1 vs GAN_2 
  0.0005263158 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001939632
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 1900"
GAN_1 vs GAN_2 
         5e-04 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00184274
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 2000"
GAN_1 vs GAN_2 
  0.0004761905 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001755067
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 2100"
GAN_1 vs GAN_2 
  0.0004545455 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001675358
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 2200"
GAN_1 vs GAN_2 
  0.0004347826 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001602575
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 2300"
GAN_1 vs GAN_2 
  0.0004166667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001535852
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 2400"
GAN_1 vs GAN_2 
         4e-04 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001474464
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 2500"
GAN_1 vs GAN_2 
  0.0003846154 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001417794
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 2600"
GAN_1 vs GAN_2 
  0.0003703704 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001365319
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 2700"
GAN_1 vs GAN_2 
  0.0003571429 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001316589
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 2800"
GAN_1 vs GAN_2 
  0.0003448276 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001271219
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 2900"
GAN_1 vs GAN_2 
  0.0003333333 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001228871
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 3000"
GAN_1 vs GAN_2 
  0.0003225806 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001189253
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 3100"
GAN_1 vs GAN_2 
     0.0003125 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001152111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 3200"
GAN_1 vs GAN_2 
  0.0003030303 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001117218
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 3300"
GAN_1 vs GAN_2 
  0.0002941176 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001084376
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 3400"
GAN_1 vs GAN_2 
  0.0002857143 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00105341
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 3500"
GAN_1 vs GAN_2 
  0.0002777778 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001024164
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 3600"
GAN_1 vs GAN_2 
  0.0002702703 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009964976
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 3700"
GAN_1 vs GAN_2 
  0.0002631579 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009702867
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 3800"
GAN_1 vs GAN_2 
  0.0002564103 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009454193
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 3900"
GAN_1 vs GAN_2 
       0.00025 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009217947
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 4000"
GAN_1 vs GAN_2 
  0.0002439024 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008993221
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 4100"
GAN_1 vs GAN_2 
  0.0002380952 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.000877919
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 4200"
GAN_1 vs GAN_2 
  0.0002325581 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008575111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 4300"
GAN_1 vs GAN_2 
  0.0002272727 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008380304
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 4400"
GAN_1 vs GAN_2 
  0.0002222222 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008194151
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 4500"
GAN_1 vs GAN_2 
  0.0002173913 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008016089
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 4600"
GAN_1 vs GAN_2 
   0.000212766 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00078456
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 4700"
GAN_1 vs GAN_2 
  0.0002083333 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007682213
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 4800"
GAN_1 vs GAN_2 
  0.0002040816 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007525492
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 4900"
GAN_1 vs GAN_2 
         2e-04 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007375038
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 5000"
GAN_1 vs GAN_2 
  0.0001960784 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007230482
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 5100"
GAN_1 vs GAN_2 
  0.0001923077 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007091483
[1] "0  Hits so far"

[1] "TSNEdata clustering, mlp using  5:6 and 9:10. Now real iteration:"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 100"
GAN_1 vs GAN_2 
         0.305 
           GAN_1 vs GAN_2
CI95%-low       0.2420194
CI95%-high      0.3738678
[1] "61  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 200"
GAN_1 vs GAN_2 
     0.3033333 
           GAN_1 vs GAN_2
CI95%-low       0.2518198
CI95%-high      0.3587808
[1] "91  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 300"
GAN_1 vs GAN_2 
        0.3025 
           GAN_1 vs GAN_2
CI95%-low       0.2578425
CI95%-high      0.3501085
[1] "121  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 400"
GAN_1 vs GAN_2 
         0.302 
           GAN_1 vs GAN_2
CI95%-low         0.26203
CI95%-high        0.34433
[1] "151  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 500"
GAN_1 vs GAN_2 
     0.3016667 
           GAN_1 vs GAN_2
CI95%-low       0.2651613
CI95%-high      0.3401377
[1] "181  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 600"
GAN_1 vs GAN_2 
     0.3014286 
           GAN_1 vs GAN_2
CI95%-low       0.2676184
CI95%-high      0.3369226
[1] "211  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 700"
GAN_1 vs GAN_2 
       0.30125 
           GAN_1 vs GAN_2
CI95%-low       0.2696140
CI95%-high      0.3343585
[1] "241  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 800"
GAN_1 vs GAN_2 
     0.3011111 
           GAN_1 vs GAN_2
CI95%-low       0.2712772
CI95%-high      0.3322533
[1] "271  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 900"
GAN_1 vs GAN_2 
         0.301 
           GAN_1 vs GAN_2
CI95%-low       0.2726912
CI95%-high      0.3304856
[1] "301  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 1000"
GAN_1 vs GAN_2 
     0.3009091 
           GAN_1 vs GAN_2
CI95%-low       0.2739131
CI95%-high      0.3289745
[1] "331  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 1100"
GAN_1 vs GAN_2 
     0.3008333 
           GAN_1 vs GAN_2
CI95%-low       0.2749827
CI95%-high      0.3276638
[1] "361  Hits so far"

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration:"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 100"
GAN_1 vs GAN_2 
         0.005 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.01827534
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 200"
GAN_1 vs GAN_2 
   0.003333333 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.01222097
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 300"
GAN_1 vs GAN_2 
        0.0025 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.009179805
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 400"
GAN_1 vs GAN_2 
         0.002 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00735061
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 500"
GAN_1 vs GAN_2 
   0.001666667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.006129271
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 600"
GAN_1 vs GAN_2 
   0.001428571 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.005255967
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 700"
GAN_1 vs GAN_2 
       0.00125 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.004600485
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 800"
GAN_1 vs GAN_2 
   0.001111111 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.004090367
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 900"
GAN_1 vs GAN_2 
         0.001 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.003682084
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 1000"
GAN_1 vs GAN_2 
  0.0009090909 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00334791
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 1100"
GAN_1 vs GAN_2 
  0.0008333333 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.003069346
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 1200"
GAN_1 vs GAN_2 
  0.0007692308 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002833577
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 1300"
GAN_1 vs GAN_2 
  0.0007142857 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002631446
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 1400"
GAN_1 vs GAN_2 
  0.0006666667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002456231
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 1500"
GAN_1 vs GAN_2 
      0.000625 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002302894
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 1600"
GAN_1 vs GAN_2 
  0.0005882353 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002167576
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 1700"
GAN_1 vs GAN_2 
  0.0005555556 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002047279
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 1800"
GAN_1 vs GAN_2 
  0.0005263158 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001939632
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 1900"
GAN_1 vs GAN_2 
         5e-04 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00184274
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 2000"
GAN_1 vs GAN_2 
  0.0004761905 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001755067
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 2100"
GAN_1 vs GAN_2 
  0.0004545455 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001675358
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 2200"
GAN_1 vs GAN_2 
  0.0004347826 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001602575
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 2300"
GAN_1 vs GAN_2 
  0.0004166667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001535852
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 2400"
GAN_1 vs GAN_2 
         4e-04 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001474464
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 2500"
GAN_1 vs GAN_2 
  0.0003846154 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001417794
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 2600"
GAN_1 vs GAN_2 
  0.0003703704 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001365319
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 2700"
GAN_1 vs GAN_2 
  0.0003571429 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001316589
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 2800"
GAN_1 vs GAN_2 
  0.0003448276 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001271219
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 2900"
GAN_1 vs GAN_2 
  0.0003333333 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001228871
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 3000"
GAN_1 vs GAN_2 
  0.0003225806 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001189253
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 3100"
GAN_1 vs GAN_2 
     0.0003125 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001152111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 3200"
GAN_1 vs GAN_2 
  0.0003030303 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001117218
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 3300"
GAN_1 vs GAN_2 
  0.0002941176 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001084376
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 3400"
GAN_1 vs GAN_2 
  0.0002857143 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00105341
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 3500"
GAN_1 vs GAN_2 
  0.0002777778 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001024164
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 3600"
GAN_1 vs GAN_2 
  0.0002702703 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009964976
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 3700"
GAN_1 vs GAN_2 
  0.0002631579 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009702867
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 3800"
GAN_1 vs GAN_2 
  0.0002564103 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009454193
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 3900"
GAN_1 vs GAN_2 
       0.00025 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009217947
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 4000"
GAN_1 vs GAN_2 
  0.0002439024 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008993221
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 4100"
GAN_1 vs GAN_2 
  0.0002380952 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.000877919
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 4200"
GAN_1 vs GAN_2 
  0.0002325581 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008575111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 4300"
GAN_1 vs GAN_2 
  0.0002272727 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008380304
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 4400"
GAN_1 vs GAN_2 
  0.0002222222 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008194151
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 4500"
GAN_1 vs GAN_2 
  0.0002173913 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008016089
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 4600"
GAN_1 vs GAN_2 
   0.000212766 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00078456
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 4700"
GAN_1 vs GAN_2 
  0.0002083333 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007682213
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 4800"
GAN_1 vs GAN_2 
  0.0002040816 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007525492
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 4900"
GAN_1 vs GAN_2 
         2e-04 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007375038
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 5000"
GAN_1 vs GAN_2 
  0.0001960784 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007230482
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 5100"
GAN_1 vs GAN_2 
  0.0001923077 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007091483
[1] "0  Hits so far"

[1] "TSNEdata clustering, mlp using  5:6 and 17:18. Now real iteration:"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 100"
GAN_1 vs GAN_2 
         0.015 
           GAN_1 vs GAN_2
CI95%-low     0.003104108
CI95%-high    0.043208282
[1] "3  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 200"
GAN_1 vs GAN_2 
    0.01333333 
           GAN_1 vs GAN_2
CI95%-low     0.003644514
CI95%-high    0.033784896
[1] "4  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 300"
GAN_1 vs GAN_2 
        0.0125 
           GAN_1 vs GAN_2
CI95%-low     0.004070836
CI95%-high    0.028928344
[1] "5  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 400"
GAN_1 vs GAN_2 
         0.012 
           GAN_1 vs GAN_2
CI95%-low     0.004416172
CI95%-high    0.025934927
[1] "6  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 500"
GAN_1 vs GAN_2 
    0.01166667 
           GAN_1 vs GAN_2
CI95%-low     0.004703117
CI95%-high    0.023889322
[1] "7  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 600"
GAN_1 vs GAN_2 
    0.01142857 
           GAN_1 vs GAN_2
CI95%-low     0.004946602
CI95%-high    0.022394106
[1] "8  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 700"
GAN_1 vs GAN_2 
       0.01125 
           GAN_1 vs GAN_2
CI95%-low     0.005156763
CI95%-high    0.021248177
[1] "9  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 800"
GAN_1 vs GAN_2 
    0.01111111 
           GAN_1 vs GAN_2
CI95%-low     0.005340712
CI95%-high    0.020338533
[1] "10  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 900"
GAN_1 vs GAN_2 
         0.011 
           GAN_1 vs GAN_2
CI95%-low     0.005503594
CI95%-high    0.019596628
[1] "11  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 1000"
GAN_1 vs GAN_2 
    0.01090909 
           GAN_1 vs GAN_2
CI95%-low     0.005649237
CI95%-high    0.018978377
[1] "12  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 1100"
GAN_1 vs GAN_2 
    0.01083333 
           GAN_1 vs GAN_2
CI95%-low     0.005780551
CI95%-high    0.018454085
[1] "13  Hits so far"

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration:"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 100"
GAN_1 vs GAN_2 
         0.005 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.01827534
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 200"
GAN_1 vs GAN_2 
   0.003333333 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.01222097
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 300"
GAN_1 vs GAN_2 
        0.0025 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.009179805
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 400"
GAN_1 vs GAN_2 
         0.002 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00735061
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 500"
GAN_1 vs GAN_2 
   0.001666667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.006129271
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 600"
GAN_1 vs GAN_2 
   0.001428571 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.005255967
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 700"
GAN_1 vs GAN_2 
       0.00125 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.004600485
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 800"
GAN_1 vs GAN_2 
   0.001111111 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.004090367
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 900"
GAN_1 vs GAN_2 
         0.001 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.003682084
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 1000"
GAN_1 vs GAN_2 
  0.0009090909 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00334791
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 1100"
GAN_1 vs GAN_2 
  0.0008333333 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.003069346
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 1200"
GAN_1 vs GAN_2 
  0.0007692308 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002833577
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 1300"
GAN_1 vs GAN_2 
  0.0007142857 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002631446
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 1400"
GAN_1 vs GAN_2 
  0.0006666667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002456231
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 1500"
GAN_1 vs GAN_2 
      0.000625 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002302894
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 1600"
GAN_1 vs GAN_2 
  0.0005882353 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002167576
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 1700"
GAN_1 vs GAN_2 
  0.0005555556 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002047279
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 1800"
GAN_1 vs GAN_2 
  0.0005263158 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001939632
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 1900"
GAN_1 vs GAN_2 
         5e-04 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00184274
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 2000"
GAN_1 vs GAN_2 
  0.0004761905 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001755067
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 2100"
GAN_1 vs GAN_2 
  0.0004545455 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001675358
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 2200"
GAN_1 vs GAN_2 
  0.0004347826 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001602575
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 2300"
GAN_1 vs GAN_2 
  0.0004166667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001535852
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 2400"
GAN_1 vs GAN_2 
         4e-04 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001474464
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 2500"
GAN_1 vs GAN_2 
  0.0003846154 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001417794
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 2600"
GAN_1 vs GAN_2 
  0.0003703704 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001365319
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 2700"
GAN_1 vs GAN_2 
  0.0003571429 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001316589
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 2800"
GAN_1 vs GAN_2 
  0.0003448276 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001271219
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 2900"
GAN_1 vs GAN_2 
  0.0003333333 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001228871
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 3000"
GAN_1 vs GAN_2 
  0.0003225806 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001189253
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 3100"
GAN_1 vs GAN_2 
     0.0003125 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001152111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 3200"
GAN_1 vs GAN_2 
  0.0003030303 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001117218
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 3300"
GAN_1 vs GAN_2 
  0.0002941176 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001084376
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 3400"
GAN_1 vs GAN_2 
  0.0002857143 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00105341
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 3500"
GAN_1 vs GAN_2 
  0.0002777778 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001024164
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 3600"
GAN_1 vs GAN_2 
  0.0002702703 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009964976
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 3700"
GAN_1 vs GAN_2 
  0.0002631579 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009702867
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 3800"
GAN_1 vs GAN_2 
  0.0002564103 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009454193
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 3900"
GAN_1 vs GAN_2 
       0.00025 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009217947
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 4000"
GAN_1 vs GAN_2 
  0.0002439024 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008993221
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 4100"
GAN_1 vs GAN_2 
  0.0002380952 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.000877919
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 4200"
GAN_1 vs GAN_2 
  0.0002325581 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008575111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 4300"
GAN_1 vs GAN_2 
  0.0002272727 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008380304
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 4400"
GAN_1 vs GAN_2 
  0.0002222222 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008194151
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 4500"
GAN_1 vs GAN_2 
  0.0002173913 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008016089
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 4600"
GAN_1 vs GAN_2 
   0.000212766 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00078456
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 4700"
GAN_1 vs GAN_2 
  0.0002083333 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007682213
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 4800"
GAN_1 vs GAN_2 
  0.0002040816 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007525492
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 4900"
GAN_1 vs GAN_2 
         2e-04 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007375038
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 5000"
GAN_1 vs GAN_2 
  0.0001960784 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007230482
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 5100"
GAN_1 vs GAN_2 
  0.0001923077 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007091483
[1] "0  Hits so far"

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration:"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 100"
GAN_1 vs GAN_2 
         0.005 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.01827534
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 200"
GAN_1 vs GAN_2 
   0.003333333 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.01222097
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 300"
GAN_1 vs GAN_2 
        0.0025 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.009179805
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 400"
GAN_1 vs GAN_2 
         0.002 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00735061
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 500"
GAN_1 vs GAN_2 
   0.001666667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.006129271
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 600"
GAN_1 vs GAN_2 
   0.001428571 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.005255967
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 700"
GAN_1 vs GAN_2 
       0.00125 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.004600485
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 800"
GAN_1 vs GAN_2 
   0.001111111 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.004090367
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 900"
GAN_1 vs GAN_2 
         0.001 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.003682084
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 1000"
GAN_1 vs GAN_2 
  0.0009090909 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00334791
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 1100"
GAN_1 vs GAN_2 
  0.0008333333 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.003069346
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 1200"
GAN_1 vs GAN_2 
  0.0007692308 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002833577
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 1300"
GAN_1 vs GAN_2 
  0.0007142857 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002631446
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 1400"
GAN_1 vs GAN_2 
  0.0006666667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002456231
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 1500"
GAN_1 vs GAN_2 
      0.000625 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002302894
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 1600"
GAN_1 vs GAN_2 
  0.0005882353 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002167576
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 1700"
GAN_1 vs GAN_2 
  0.0005555556 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002047279
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 1800"
GAN_1 vs GAN_2 
  0.0005263158 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001939632
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 1900"
GAN_1 vs GAN_2 
         5e-04 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00184274
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 2000"
GAN_1 vs GAN_2 
  0.0004761905 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001755067
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 2100"
GAN_1 vs GAN_2 
  0.0004545455 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001675358
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 2200"
GAN_1 vs GAN_2 
  0.0004347826 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001602575
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 2300"
GAN_1 vs GAN_2 
  0.0004166667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001535852
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 2400"
GAN_1 vs GAN_2 
         4e-04 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001474464
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 2500"
GAN_1 vs GAN_2 
  0.0003846154 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001417794
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 2600"
GAN_1 vs GAN_2 
  0.0003703704 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001365319
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 2700"
GAN_1 vs GAN_2 
  0.0003571429 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001316589
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 2800"
GAN_1 vs GAN_2 
  0.0003448276 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001271219
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 2900"
GAN_1 vs GAN_2 
  0.0003333333 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001228871
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 3000"
GAN_1 vs GAN_2 
  0.0003225806 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001189253
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 3100"
GAN_1 vs GAN_2 
     0.0003125 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001152111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 3200"
GAN_1 vs GAN_2 
  0.0003030303 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001117218
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 3300"
GAN_1 vs GAN_2 
  0.0002941176 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001084376
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 3400"
GAN_1 vs GAN_2 
  0.0002857143 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00105341
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 3500"
GAN_1 vs GAN_2 
  0.0002777778 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001024164
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 3600"
GAN_1 vs GAN_2 
  0.0002702703 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009964976
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 3700"
GAN_1 vs GAN_2 
  0.0002631579 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009702867
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 3800"
GAN_1 vs GAN_2 
  0.0002564103 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009454193
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 3900"
GAN_1 vs GAN_2 
       0.00025 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009217947
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 4000"
GAN_1 vs GAN_2 
  0.0002439024 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008993221
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 4100"
GAN_1 vs GAN_2 
  0.0002380952 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.000877919
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 4200"
GAN_1 vs GAN_2 
  0.0002325581 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008575111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 4300"
GAN_1 vs GAN_2 
  0.0002272727 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008380304
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 4400"
GAN_1 vs GAN_2 
  0.0002222222 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008194151
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 4500"
GAN_1 vs GAN_2 
  0.0002173913 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008016089
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 4600"
GAN_1 vs GAN_2 
   0.000212766 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00078456
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 4700"
GAN_1 vs GAN_2 
  0.0002083333 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007682213
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 4800"
GAN_1 vs GAN_2 
  0.0002040816 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007525492
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 4900"
GAN_1 vs GAN_2 
         2e-04 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007375038
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 5000"
GAN_1 vs GAN_2 
  0.0001960784 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007230482
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 5100"
GAN_1 vs GAN_2 
  0.0001923077 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007091483
[1] "0  Hits so far"

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration:"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 100"
GAN_1 vs GAN_2 
         0.005 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.01827534
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 200"
GAN_1 vs GAN_2 
   0.003333333 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.01222097
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 300"
GAN_1 vs GAN_2 
        0.0025 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.009179805
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 400"
GAN_1 vs GAN_2 
         0.002 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00735061
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 500"
GAN_1 vs GAN_2 
   0.001666667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.006129271
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 600"
GAN_1 vs GAN_2 
   0.001428571 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.005255967
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 700"
GAN_1 vs GAN_2 
       0.00125 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.004600485
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 800"
GAN_1 vs GAN_2 
   0.001111111 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.004090367
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 900"
GAN_1 vs GAN_2 
         0.001 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.003682084
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 1000"
GAN_1 vs GAN_2 
  0.0009090909 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00334791
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 1100"
GAN_1 vs GAN_2 
  0.0008333333 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.003069346
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 1200"
GAN_1 vs GAN_2 
  0.0007692308 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002833577
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 1300"
GAN_1 vs GAN_2 
  0.0007142857 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002631446
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 1400"
GAN_1 vs GAN_2 
  0.0006666667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002456231
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 1500"
GAN_1 vs GAN_2 
      0.000625 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002302894
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 1600"
GAN_1 vs GAN_2 
  0.0005882353 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002167576
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 1700"
GAN_1 vs GAN_2 
  0.0005555556 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002047279
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 1800"
GAN_1 vs GAN_2 
  0.0005263158 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001939632
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 1900"
GAN_1 vs GAN_2 
         5e-04 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00184274
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 2000"
GAN_1 vs GAN_2 
  0.0004761905 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001755067
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 2100"
GAN_1 vs GAN_2 
  0.0004545455 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001675358
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 2200"
GAN_1 vs GAN_2 
  0.0004347826 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001602575
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 2300"
GAN_1 vs GAN_2 
  0.0004166667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001535852
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 2400"
GAN_1 vs GAN_2 
         4e-04 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001474464
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 2500"
GAN_1 vs GAN_2 
  0.0003846154 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001417794
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 2600"
GAN_1 vs GAN_2 
  0.0003703704 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001365319
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 2700"
GAN_1 vs GAN_2 
  0.0003571429 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001316589
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 2800"
GAN_1 vs GAN_2 
  0.0003448276 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001271219
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 2900"
GAN_1 vs GAN_2 
  0.0003333333 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001228871
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 3000"
GAN_1 vs GAN_2 
  0.0003225806 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001189253
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 3100"
GAN_1 vs GAN_2 
     0.0003125 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001152111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 3200"
GAN_1 vs GAN_2 
  0.0003030303 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001117218
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 3300"
GAN_1 vs GAN_2 
  0.0002941176 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001084376
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 3400"
GAN_1 vs GAN_2 
  0.0002857143 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00105341
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 3500"
GAN_1 vs GAN_2 
  0.0002777778 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001024164
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 3600"
GAN_1 vs GAN_2 
  0.0002702703 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009964976
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 3700"
GAN_1 vs GAN_2 
  0.0002631579 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009702867
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 3800"
GAN_1 vs GAN_2 
  0.0002564103 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009454193
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 3900"
GAN_1 vs GAN_2 
       0.00025 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009217947
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 4000"
GAN_1 vs GAN_2 
  0.0002439024 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008993221
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 4100"
GAN_1 vs GAN_2 
  0.0002380952 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.000877919
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 4200"
GAN_1 vs GAN_2 
  0.0002325581 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008575111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 4300"
GAN_1 vs GAN_2 
  0.0002272727 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008380304
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 4400"
GAN_1 vs GAN_2 
  0.0002222222 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008194151
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 4500"
GAN_1 vs GAN_2 
  0.0002173913 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008016089
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 4600"
GAN_1 vs GAN_2 
   0.000212766 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00078456
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 4700"
GAN_1 vs GAN_2 
  0.0002083333 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007682213
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 4800"
GAN_1 vs GAN_2 
  0.0002040816 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007525492
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 4900"
GAN_1 vs GAN_2 
         2e-04 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007375038
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 5000"
GAN_1 vs GAN_2 
  0.0001960784 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007230482
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "TSNEdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 5100"
GAN_1 vs GAN_2 
  0.0001923077 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007091483
[1] "0  Hits so far"

##Are the RAWs different to each other?

[1] "1 : 2"
[1] "1 : 3"
[1] "1 : 4"
[1] "1 : 5"
[1] "2 : 3"
[1] "2 : 4"
[1] "2 : 5"
[1] "3 : 4"
[1] "3 : 5"
[1] "4 : 5"
[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration:"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 100"
RAW_1 vs RAW_2 
         0.005 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.01827534
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 200"
RAW_1 vs RAW_2 
   0.003333333 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.01222097
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 300"
RAW_1 vs RAW_2 
        0.0025 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.009179805
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 400"
RAW_1 vs RAW_2 
         0.002 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00735061
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 500"
RAW_1 vs RAW_2 
   0.001666667 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.006129271
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 600"
RAW_1 vs RAW_2 
   0.001428571 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.005255967
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 700"
RAW_1 vs RAW_2 
       0.00125 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.004600485
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 800"
RAW_1 vs RAW_2 
   0.001111111 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.004090367
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 900"
RAW_1 vs RAW_2 
         0.001 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.003682084
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 1000"
RAW_1 vs RAW_2 
  0.0009090909 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00334791
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 1100"
RAW_1 vs RAW_2 
  0.0008333333 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.003069346
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 1200"
RAW_1 vs RAW_2 
  0.0007692308 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002833577
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 1300"
RAW_1 vs RAW_2 
  0.0007142857 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002631446
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 1400"
RAW_1 vs RAW_2 
  0.0006666667 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002456231
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 1500"
RAW_1 vs RAW_2 
      0.000625 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002302894
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 1600"
RAW_1 vs RAW_2 
  0.0005882353 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002167576
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 1700"
RAW_1 vs RAW_2 
  0.0005555556 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002047279
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 1800"
RAW_1 vs RAW_2 
  0.0005263158 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001939632
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 1900"
RAW_1 vs RAW_2 
         5e-04 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00184274
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 2000"
RAW_1 vs RAW_2 
  0.0004761905 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001755067
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 2100"
RAW_1 vs RAW_2 
  0.0004545455 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001675358
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 2200"
RAW_1 vs RAW_2 
  0.0004347826 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001602575
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 2300"
RAW_1 vs RAW_2 
  0.0004166667 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001535852
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 2400"
RAW_1 vs RAW_2 
         4e-04 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001474464
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 2500"
RAW_1 vs RAW_2 
  0.0003846154 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001417794
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 2600"
RAW_1 vs RAW_2 
  0.0003703704 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001365319
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 2700"
RAW_1 vs RAW_2 
  0.0003571429 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001316589
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 2800"
RAW_1 vs RAW_2 
  0.0003448276 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001271219
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 2900"
RAW_1 vs RAW_2 
  0.0003333333 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001228871
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 3000"
RAW_1 vs RAW_2 
  0.0003225806 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001189253
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 3100"
RAW_1 vs RAW_2 
     0.0003125 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001152111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 3200"
RAW_1 vs RAW_2 
  0.0003030303 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001117218
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 3300"
RAW_1 vs RAW_2 
  0.0002941176 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001084376
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 3400"
RAW_1 vs RAW_2 
  0.0002857143 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00105341
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 3500"
RAW_1 vs RAW_2 
  0.0002777778 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001024164
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 3600"
RAW_1 vs RAW_2 
  0.0002702703 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009964976
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 3700"
RAW_1 vs RAW_2 
  0.0002631579 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009702867
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 3800"
RAW_1 vs RAW_2 
  0.0002564103 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009454193
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 3900"
RAW_1 vs RAW_2 
       0.00025 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009217947
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 4000"
RAW_1 vs RAW_2 
  0.0002439024 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008993221
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 4100"
RAW_1 vs RAW_2 
  0.0002380952 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.000877919
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 4200"
RAW_1 vs RAW_2 
  0.0002325581 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008575111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 4300"
RAW_1 vs RAW_2 
  0.0002272727 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008380304
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 4400"
RAW_1 vs RAW_2 
  0.0002222222 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008194151
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 4500"
RAW_1 vs RAW_2 
  0.0002173913 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008016089
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 4600"
RAW_1 vs RAW_2 
   0.000212766 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00078456
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 4700"
RAW_1 vs RAW_2 
  0.0002083333 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007682213
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 4800"
RAW_1 vs RAW_2 
  0.0002040816 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007525492
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 4900"
RAW_1 vs RAW_2 
         2e-04 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007375038
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 5000"
RAW_1 vs RAW_2 
  0.0001960784 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007230482
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 5100"
RAW_1 vs RAW_2 
  0.0001923077 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007091483
[1] "0  Hits so far"
[1] "TSNEdata clustering, mlp using  3:4 and 11:12. Now real iteration:"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 11:12. Now real iteration: . Now real iteration: 100"
RAW_1 vs RAW_2 
         0.395 
           RAW_1 vs RAW_2
CI95%-low       0.3267650
CI95%-high      0.4663964
[1] "79  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 11:12. Now real iteration: . Now real iteration: 200"
RAW_1 vs RAW_2 
     0.3933333 
           RAW_1 vs RAW_2
CI95%-low       0.3376870
CI95%-high      0.4511084
[1] "118  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 11:12. Now real iteration: . Now real iteration: 300"
RAW_1 vs RAW_2 
        0.3925 
           RAW_1 vs RAW_2
CI95%-low       0.3443481
CI95%-high      0.4422549
[1] "157  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 11:12. Now real iteration: . Now real iteration: 400"
RAW_1 vs RAW_2 
         0.392 
           RAW_1 vs RAW_2
CI95%-low       0.3489574
CI95%-high      0.4363275
[1] "196  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 11:12. Now real iteration: . Now real iteration: 500"
RAW_1 vs RAW_2 
     0.3916667 
           RAW_1 vs RAW_2
CI95%-low       0.3523926
CI95%-high      0.4320125
[1] "235  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 11:12. Now real iteration: . Now real iteration: 600"
RAW_1 vs RAW_2 
     0.3914286 
           RAW_1 vs RAW_2
CI95%-low       0.3550816
CI95%-high      0.4286948
[1] "274  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 11:12. Now real iteration: . Now real iteration: 700"
RAW_1 vs RAW_2 
       0.39125 
           RAW_1 vs RAW_2
CI95%-low       0.3572611
CI95%-high      0.4260434
[1] "313  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 11:12. Now real iteration: . Now real iteration: 800"
RAW_1 vs RAW_2 
     0.3911111 
           RAW_1 vs RAW_2
CI95%-low       0.3590746
CI95%-high      0.4238628
[1] "352  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 11:12. Now real iteration: . Now real iteration: 900"
RAW_1 vs RAW_2 
         0.391 
           RAW_1 vs RAW_2
CI95%-low       0.3606145
CI95%-high      0.4220292
[1] "391  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 11:12. Now real iteration: . Now real iteration: 1000"
RAW_1 vs RAW_2 
     0.3909091 
           RAW_1 vs RAW_2
CI95%-low       0.3619435
CI95%-high      0.4204599
[1] "430  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 11:12. Now real iteration: . Now real iteration: 1100"
RAW_1 vs RAW_2 
     0.3908333 
           RAW_1 vs RAW_2
CI95%-low       0.3631058
CI95%-high      0.4190973
[1] "469  Hits so far"

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration:"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 100"
RAW_1 vs RAW_2 
         0.005 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.01827534
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 200"
RAW_1 vs RAW_2 
   0.003333333 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.01222097
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 300"
RAW_1 vs RAW_2 
        0.0025 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.009179805
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 400"
RAW_1 vs RAW_2 
         0.002 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00735061
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 500"
RAW_1 vs RAW_2 
   0.001666667 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.006129271
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 600"
RAW_1 vs RAW_2 
   0.001428571 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.005255967
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 700"
RAW_1 vs RAW_2 
       0.00125 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.004600485
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 800"
RAW_1 vs RAW_2 
   0.001111111 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.004090367
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 900"
RAW_1 vs RAW_2 
         0.001 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.003682084
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 1000"
RAW_1 vs RAW_2 
  0.0009090909 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00334791
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 1100"
RAW_1 vs RAW_2 
  0.0008333333 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.003069346
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 1200"
RAW_1 vs RAW_2 
  0.0007692308 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002833577
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 1300"
RAW_1 vs RAW_2 
  0.0007142857 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002631446
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 1400"
RAW_1 vs RAW_2 
  0.0006666667 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002456231
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 1500"
RAW_1 vs RAW_2 
      0.000625 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002302894
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 1600"
RAW_1 vs RAW_2 
  0.0005882353 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002167576
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 1700"
RAW_1 vs RAW_2 
  0.0005555556 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002047279
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 1800"
RAW_1 vs RAW_2 
  0.0005263158 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001939632
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 1900"
RAW_1 vs RAW_2 
         5e-04 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00184274
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 2000"
RAW_1 vs RAW_2 
  0.0004761905 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001755067
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 2100"
RAW_1 vs RAW_2 
  0.0004545455 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001675358
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 2200"
RAW_1 vs RAW_2 
  0.0004347826 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001602575
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 2300"
RAW_1 vs RAW_2 
  0.0004166667 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001535852
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 2400"
RAW_1 vs RAW_2 
         4e-04 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001474464
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 2500"
RAW_1 vs RAW_2 
  0.0003846154 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001417794
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 2600"
RAW_1 vs RAW_2 
  0.0003703704 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001365319
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 2700"
RAW_1 vs RAW_2 
  0.0003571429 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001316589
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 2800"
RAW_1 vs RAW_2 
  0.0003448276 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001271219
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 2900"
RAW_1 vs RAW_2 
  0.0003333333 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001228871
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 3000"
RAW_1 vs RAW_2 
  0.0003225806 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001189253
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 3100"
RAW_1 vs RAW_2 
     0.0003125 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001152111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 3200"
RAW_1 vs RAW_2 
  0.0003030303 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001117218
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 3300"
RAW_1 vs RAW_2 
  0.0002941176 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001084376
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 3400"
RAW_1 vs RAW_2 
  0.0002857143 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00105341
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 3500"
RAW_1 vs RAW_2 
  0.0002777778 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001024164
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 3600"
RAW_1 vs RAW_2 
  0.0002702703 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009964976
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 3700"
RAW_1 vs RAW_2 
  0.0002631579 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009702867
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 3800"
RAW_1 vs RAW_2 
  0.0002564103 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009454193
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 3900"
RAW_1 vs RAW_2 
       0.00025 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009217947
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 4000"
RAW_1 vs RAW_2 
  0.0002439024 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008993221
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 4100"
RAW_1 vs RAW_2 
  0.0002380952 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.000877919
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 4200"
RAW_1 vs RAW_2 
  0.0002325581 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008575111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 4300"
RAW_1 vs RAW_2 
  0.0002272727 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008380304
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 4400"
RAW_1 vs RAW_2 
  0.0002222222 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008194151
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 4500"
RAW_1 vs RAW_2 
  0.0002173913 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008016089
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 4600"
RAW_1 vs RAW_2 
   0.000212766 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00078456
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 4700"
RAW_1 vs RAW_2 
  0.0002083333 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007682213
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 4800"
RAW_1 vs RAW_2 
  0.0002040816 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007525492
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 4900"
RAW_1 vs RAW_2 
         2e-04 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007375038
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 5000"
RAW_1 vs RAW_2 
  0.0001960784 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007230482
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 5100"
RAW_1 vs RAW_2 
  0.0001923077 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007091483
[1] "0  Hits so far"

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration:"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 100"
RAW_1 vs RAW_2 
         0.005 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.01827534
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 200"
RAW_1 vs RAW_2 
   0.003333333 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.01222097
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 300"
RAW_1 vs RAW_2 
        0.0025 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.009179805
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 400"
RAW_1 vs RAW_2 
         0.002 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00735061
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 500"
RAW_1 vs RAW_2 
   0.001666667 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.006129271
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 600"
RAW_1 vs RAW_2 
   0.001428571 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.005255967
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 700"
RAW_1 vs RAW_2 
       0.00125 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.004600485
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 800"
RAW_1 vs RAW_2 
   0.001111111 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.004090367
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 900"
RAW_1 vs RAW_2 
         0.001 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.003682084
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 1000"
RAW_1 vs RAW_2 
  0.0009090909 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00334791
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 1100"
RAW_1 vs RAW_2 
  0.0008333333 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.003069346
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 1200"
RAW_1 vs RAW_2 
  0.0007692308 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002833577
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 1300"
RAW_1 vs RAW_2 
  0.0007142857 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002631446
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 1400"
RAW_1 vs RAW_2 
  0.0006666667 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002456231
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 1500"
RAW_1 vs RAW_2 
      0.000625 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002302894
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 1600"
RAW_1 vs RAW_2 
  0.0005882353 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002167576
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 1700"
RAW_1 vs RAW_2 
  0.0005555556 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002047279
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 1800"
RAW_1 vs RAW_2 
  0.0005263158 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001939632
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 1900"
RAW_1 vs RAW_2 
         5e-04 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00184274
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 2000"
RAW_1 vs RAW_2 
  0.0004761905 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001755067
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 2100"
RAW_1 vs RAW_2 
  0.0004545455 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001675358
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 2200"
RAW_1 vs RAW_2 
  0.0004347826 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001602575
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 2300"
RAW_1 vs RAW_2 
  0.0004166667 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001535852
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 2400"
RAW_1 vs RAW_2 
         4e-04 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001474464
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 2500"
RAW_1 vs RAW_2 
  0.0003846154 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001417794
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 2600"
RAW_1 vs RAW_2 
  0.0003703704 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001365319
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 2700"
RAW_1 vs RAW_2 
  0.0003571429 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001316589
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 2800"
RAW_1 vs RAW_2 
  0.0003448276 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001271219
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 2900"
RAW_1 vs RAW_2 
  0.0003333333 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001228871
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 3000"
RAW_1 vs RAW_2 
  0.0003225806 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001189253
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 3100"
RAW_1 vs RAW_2 
     0.0003125 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001152111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 3200"
RAW_1 vs RAW_2 
  0.0003030303 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001117218
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 3300"
RAW_1 vs RAW_2 
  0.0002941176 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001084376
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 3400"
RAW_1 vs RAW_2 
  0.0002857143 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00105341
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 3500"
RAW_1 vs RAW_2 
  0.0002777778 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001024164
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 3600"
RAW_1 vs RAW_2 
  0.0002702703 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009964976
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 3700"
RAW_1 vs RAW_2 
  0.0002631579 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009702867
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 3800"
RAW_1 vs RAW_2 
  0.0002564103 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009454193
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 3900"
RAW_1 vs RAW_2 
       0.00025 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009217947
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 4000"
RAW_1 vs RAW_2 
  0.0002439024 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008993221
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 4100"
RAW_1 vs RAW_2 
  0.0002380952 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.000877919
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 4200"
RAW_1 vs RAW_2 
  0.0002325581 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008575111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 4300"
RAW_1 vs RAW_2 
  0.0002272727 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008380304
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 4400"
RAW_1 vs RAW_2 
  0.0002222222 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008194151
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 4500"
RAW_1 vs RAW_2 
  0.0002173913 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008016089
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 4600"
RAW_1 vs RAW_2 
   0.000212766 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00078456
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 4700"
RAW_1 vs RAW_2 
  0.0002083333 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007682213
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 4800"
RAW_1 vs RAW_2 
  0.0002040816 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007525492
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 4900"
RAW_1 vs RAW_2 
         2e-04 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007375038
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 5000"
RAW_1 vs RAW_2 
  0.0001960784 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007230482
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 5100"
RAW_1 vs RAW_2 
  0.0001923077 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007091483
[1] "0  Hits so far"

[1] "TSNEdata clustering, mlp using  7:8 and 11:12. Now real iteration:"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 11:12. Now real iteration: . Now real iteration: 100"
RAW_1 vs RAW_2 
         0.465 
           RAW_1 vs RAW_2
CI95%-low       0.3943527
CI95%-high      0.5367001
[1] "92  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 11:12. Now real iteration: . Now real iteration: 200"
RAW_1 vs RAW_2 
     0.4566667 
           RAW_1 vs RAW_2
CI95%-low       0.3993076
CI95%-high      0.5148899
[1] "135  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 11:12. Now real iteration: . Now real iteration: 300"
RAW_1 vs RAW_2 
        0.4525 
           RAW_1 vs RAW_2
CI95%-low       0.4029820
CI95%-high      0.5027258
[1] "178  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 11:12. Now real iteration: . Now real iteration: 400"
RAW_1 vs RAW_2 
          0.45 
           RAW_1 vs RAW_2
CI95%-low       0.4058014
CI95%-high      0.4947931
[1] "221  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 11:12. Now real iteration: . Now real iteration: 500"
RAW_1 vs RAW_2 
     0.4483333 
           RAW_1 vs RAW_2
CI95%-low       0.4080457
CI95%-high      0.4891318
[1] "264  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 11:12. Now real iteration: . Now real iteration: 600"
RAW_1 vs RAW_2 
     0.4471429 
           RAW_1 vs RAW_2
CI95%-low       0.4098861
CI95%-high      0.4848469
[1] "307  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 11:12. Now real iteration: . Now real iteration: 700"
RAW_1 vs RAW_2 
       0.44625 
           RAW_1 vs RAW_2
CI95%-low       0.4114309
CI95%-high      0.4814666
[1] "350  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 11:12. Now real iteration: . Now real iteration: 800"
RAW_1 vs RAW_2 
     0.4455556 
           RAW_1 vs RAW_2
CI95%-low       0.4127520
CI95%-high      0.4787165
[1] "393  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 11:12. Now real iteration: . Now real iteration: 900"
RAW_1 vs RAW_2 
         0.445 
           RAW_1 vs RAW_2
CI95%-low       0.4138991
CI95%-high      0.4764256
[1] "436  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 11:12. Now real iteration: . Now real iteration: 1000"
RAW_1 vs RAW_2 
     0.4445455 
           RAW_1 vs RAW_2
CI95%-low       0.4149076
CI95%-high      0.4744807
[1] "479  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 11:12. Now real iteration: . Now real iteration: 1100"
RAW_1 vs RAW_2 
     0.4441667 
           RAW_1 vs RAW_2
CI95%-low       0.4158036
CI95%-high      0.4728040
[1] "522  Hits so far"

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration:"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 100"
RAW_1 vs RAW_2 
         0.005 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.01827534
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 200"
RAW_1 vs RAW_2 
   0.003333333 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.01222097
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 300"
RAW_1 vs RAW_2 
        0.0025 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.009179805
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 400"
RAW_1 vs RAW_2 
         0.002 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00735061
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 500"
RAW_1 vs RAW_2 
   0.001666667 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.006129271
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 600"
RAW_1 vs RAW_2 
   0.001428571 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.005255967
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 700"
RAW_1 vs RAW_2 
       0.00125 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.004600485
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 800"
RAW_1 vs RAW_2 
   0.001111111 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.004090367
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 900"
RAW_1 vs RAW_2 
         0.001 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.003682084
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 1000"
RAW_1 vs RAW_2 
  0.0009090909 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00334791
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 1100"
RAW_1 vs RAW_2 
  0.0008333333 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.003069346
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 1200"
RAW_1 vs RAW_2 
  0.0007692308 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002833577
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 1300"
RAW_1 vs RAW_2 
  0.0007142857 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002631446
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 1400"
RAW_1 vs RAW_2 
  0.0006666667 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002456231
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 1500"
RAW_1 vs RAW_2 
      0.000625 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002302894
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 1600"
RAW_1 vs RAW_2 
  0.0005882353 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002167576
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 1700"
RAW_1 vs RAW_2 
  0.0005555556 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002047279
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 1800"
RAW_1 vs RAW_2 
  0.0005263158 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001939632
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 1900"
RAW_1 vs RAW_2 
         5e-04 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00184274
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 2000"
RAW_1 vs RAW_2 
  0.0004761905 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001755067
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 2100"
RAW_1 vs RAW_2 
  0.0004545455 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001675358
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 2200"
RAW_1 vs RAW_2 
  0.0004347826 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001602575
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 2300"
RAW_1 vs RAW_2 
  0.0004166667 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001535852
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 2400"
RAW_1 vs RAW_2 
         4e-04 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001474464
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 2500"
RAW_1 vs RAW_2 
  0.0003846154 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001417794
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 2600"
RAW_1 vs RAW_2 
  0.0003703704 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001365319
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 2700"
RAW_1 vs RAW_2 
  0.0003571429 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001316589
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 2800"
RAW_1 vs RAW_2 
  0.0003448276 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001271219
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 2900"
RAW_1 vs RAW_2 
  0.0003333333 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001228871
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 3000"
RAW_1 vs RAW_2 
  0.0003225806 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001189253
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 3100"
RAW_1 vs RAW_2 
     0.0003125 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001152111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 3200"
RAW_1 vs RAW_2 
  0.0003030303 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001117218
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 3300"
RAW_1 vs RAW_2 
  0.0002941176 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001084376
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 3400"
RAW_1 vs RAW_2 
  0.0002857143 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00105341
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 3500"
RAW_1 vs RAW_2 
  0.0002777778 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001024164
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 3600"
RAW_1 vs RAW_2 
  0.0002702703 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009964976
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 3700"
RAW_1 vs RAW_2 
  0.0002631579 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009702867
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 3800"
RAW_1 vs RAW_2 
  0.0002564103 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009454193
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 3900"
RAW_1 vs RAW_2 
       0.00025 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009217947
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 4000"
RAW_1 vs RAW_2 
  0.0002439024 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008993221
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 4100"
RAW_1 vs RAW_2 
  0.0002380952 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.000877919
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 4200"
RAW_1 vs RAW_2 
  0.0002325581 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008575111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 4300"
RAW_1 vs RAW_2 
  0.0002272727 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008380304
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 4400"
RAW_1 vs RAW_2 
  0.0002222222 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008194151
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 4500"
RAW_1 vs RAW_2 
  0.0002173913 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008016089
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 4600"
RAW_1 vs RAW_2 
   0.000212766 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00078456
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 4700"
RAW_1 vs RAW_2 
  0.0002083333 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007682213
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 4800"
RAW_1 vs RAW_2 
  0.0002040816 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007525492
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 4900"
RAW_1 vs RAW_2 
         2e-04 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007375038
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 5000"
RAW_1 vs RAW_2 
  0.0001960784 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007230482
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 5100"
RAW_1 vs RAW_2 
  0.0001923077 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007091483
[1] "0  Hits so far"

[1] "TSNEdata clustering, mlp using  7:8 and 19:20. Now real iteration:"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 100"
RAW_1 vs RAW_2 
          0.06 
           RAW_1 vs RAW_2
CI95%-low      0.03138395
CI95%-high     0.10246183
[1] "12  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 200"
RAW_1 vs RAW_2 
          0.06 
           RAW_1 vs RAW_2
CI95%-low      0.03594387
CI95%-high     0.09317030
[1] "18  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 300"
RAW_1 vs RAW_2 
          0.06 
           RAW_1 vs RAW_2
CI95%-low      0.03881775
CI95%-high     0.08796242
[1] "24  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 400"
RAW_1 vs RAW_2 
          0.06 
           RAW_1 vs RAW_2
CI95%-low      0.04084418
CI95%-high     0.08454855
[1] "30  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 500"
RAW_1 vs RAW_2 
          0.06 
           RAW_1 vs RAW_2
CI95%-low      0.04237340
CI95%-high     0.08210076
[1] "36  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 600"
RAW_1 vs RAW_2 
          0.06 
           RAW_1 vs RAW_2
CI95%-low      0.04358122
CI95%-high     0.08024036
[1] "42  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 700"
RAW_1 vs RAW_2 
          0.06 
           RAW_1 vs RAW_2
CI95%-low      0.04456698
CI95%-high     0.07876730
[1] "48  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 800"
RAW_1 vs RAW_2 
          0.06 
           RAW_1 vs RAW_2
CI95%-low      0.04539166
CI95%-high     0.07756502
[1] "54  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 900"
RAW_1 vs RAW_2 
          0.06 
           RAW_1 vs RAW_2
CI95%-low      0.04609504
CI95%-high     0.07656049
[1] "60  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 1000"
RAW_1 vs RAW_2 
          0.06 
           RAW_1 vs RAW_2
CI95%-low      0.04670434
CI95%-high     0.07570545
[1] "66  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 1100"
RAW_1 vs RAW_2 
          0.06 
           RAW_1 vs RAW_2
CI95%-low      0.04723894
CI95%-high     0.07496657
[1] "72  Hits so far"

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration:"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 100"
RAW_1 vs RAW_2 
         0.005 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.01827534
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 200"
RAW_1 vs RAW_2 
   0.003333333 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.01222097
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 300"
RAW_1 vs RAW_2 
        0.0025 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.009179805
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 400"
RAW_1 vs RAW_2 
         0.002 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00735061
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 500"
RAW_1 vs RAW_2 
   0.001666667 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.006129271
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 600"
RAW_1 vs RAW_2 
   0.001428571 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.005255967
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 700"
RAW_1 vs RAW_2 
       0.00125 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.004600485
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 800"
RAW_1 vs RAW_2 
   0.001111111 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.004090367
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 900"
RAW_1 vs RAW_2 
         0.001 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.003682084
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 1000"
RAW_1 vs RAW_2 
  0.0009090909 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00334791
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 1100"
RAW_1 vs RAW_2 
  0.0008333333 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.003069346
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 1200"
RAW_1 vs RAW_2 
  0.0007692308 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002833577
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 1300"
RAW_1 vs RAW_2 
  0.0007142857 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002631446
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 1400"
RAW_1 vs RAW_2 
  0.0006666667 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002456231
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 1500"
RAW_1 vs RAW_2 
      0.000625 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002302894
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 1600"
RAW_1 vs RAW_2 
  0.0005882353 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002167576
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 1700"
RAW_1 vs RAW_2 
  0.0005555556 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002047279
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 1800"
RAW_1 vs RAW_2 
  0.0005263158 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001939632
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 1900"
RAW_1 vs RAW_2 
         5e-04 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00184274
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 2000"
RAW_1 vs RAW_2 
  0.0004761905 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001755067
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 2100"
RAW_1 vs RAW_2 
  0.0004545455 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001675358
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 2200"
RAW_1 vs RAW_2 
  0.0004347826 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001602575
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 2300"
RAW_1 vs RAW_2 
  0.0004166667 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001535852
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 2400"
RAW_1 vs RAW_2 
         4e-04 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001474464
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 2500"
RAW_1 vs RAW_2 
  0.0003846154 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001417794
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 2600"
RAW_1 vs RAW_2 
  0.0003703704 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001365319
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 2700"
RAW_1 vs RAW_2 
  0.0003571429 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001316589
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 2800"
RAW_1 vs RAW_2 
  0.0003448276 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001271219
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 2900"
RAW_1 vs RAW_2 
  0.0003333333 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001228871
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 3000"
RAW_1 vs RAW_2 
  0.0003225806 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001189253
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 3100"
RAW_1 vs RAW_2 
     0.0003125 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001152111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 3200"
RAW_1 vs RAW_2 
  0.0003030303 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001117218
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 3300"
RAW_1 vs RAW_2 
  0.0002941176 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001084376
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 3400"
RAW_1 vs RAW_2 
  0.0002857143 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00105341
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 3500"
RAW_1 vs RAW_2 
  0.0002777778 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001024164
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 3600"
RAW_1 vs RAW_2 
  0.0002702703 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009964976
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 3700"
RAW_1 vs RAW_2 
  0.0002631579 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009702867
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 3800"
RAW_1 vs RAW_2 
  0.0002564103 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009454193
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 3900"
RAW_1 vs RAW_2 
       0.00025 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009217947
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 4000"
RAW_1 vs RAW_2 
  0.0002439024 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008993221
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 4100"
RAW_1 vs RAW_2 
  0.0002380952 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.000877919
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 4200"
RAW_1 vs RAW_2 
  0.0002325581 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008575111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 4300"
RAW_1 vs RAW_2 
  0.0002272727 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008380304
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 4400"
RAW_1 vs RAW_2 
  0.0002222222 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008194151
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 4500"
RAW_1 vs RAW_2 
  0.0002173913 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008016089
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 4600"
RAW_1 vs RAW_2 
   0.000212766 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00078456
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 4700"
RAW_1 vs RAW_2 
  0.0002083333 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007682213
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 4800"
RAW_1 vs RAW_2 
  0.0002040816 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007525492
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 4900"
RAW_1 vs RAW_2 
         2e-04 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007375038
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 5000"
RAW_1 vs RAW_2 
  0.0001960784 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007230482
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 5100"
RAW_1 vs RAW_2 
  0.0001923077 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007091483
[1] "0  Hits so far"

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration:"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 100"
RAW_1 vs RAW_2 
         0.005 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.01827534
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 200"
RAW_1 vs RAW_2 
   0.003333333 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.01222097
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 300"
RAW_1 vs RAW_2 
        0.0025 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.009179805
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 400"
RAW_1 vs RAW_2 
         0.002 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00735061
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 500"
RAW_1 vs RAW_2 
   0.001666667 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.006129271
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 600"
RAW_1 vs RAW_2 
   0.001428571 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.005255967
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 700"
RAW_1 vs RAW_2 
       0.00125 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.004600485
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 800"
RAW_1 vs RAW_2 
   0.001111111 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.004090367
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 900"
RAW_1 vs RAW_2 
         0.001 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.003682084
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 1000"
RAW_1 vs RAW_2 
  0.0009090909 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00334791
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 1100"
RAW_1 vs RAW_2 
  0.0008333333 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.003069346
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 1200"
RAW_1 vs RAW_2 
  0.0007692308 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002833577
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 1300"
RAW_1 vs RAW_2 
  0.0007142857 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002631446
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 1400"
RAW_1 vs RAW_2 
  0.0006666667 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002456231
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 1500"
RAW_1 vs RAW_2 
      0.000625 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002302894
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 1600"
RAW_1 vs RAW_2 
  0.0005882353 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002167576
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 1700"
RAW_1 vs RAW_2 
  0.0005555556 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002047279
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 1800"
RAW_1 vs RAW_2 
  0.0005263158 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001939632
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 1900"
RAW_1 vs RAW_2 
         5e-04 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00184274
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 2000"
RAW_1 vs RAW_2 
  0.0004761905 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001755067
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 2100"
RAW_1 vs RAW_2 
  0.0004545455 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001675358
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 2200"
RAW_1 vs RAW_2 
  0.0004347826 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001602575
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 2300"
RAW_1 vs RAW_2 
  0.0004166667 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001535852
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 2400"
RAW_1 vs RAW_2 
         4e-04 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001474464
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 2500"
RAW_1 vs RAW_2 
  0.0003846154 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001417794
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 2600"
RAW_1 vs RAW_2 
  0.0003703704 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001365319
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 2700"
RAW_1 vs RAW_2 
  0.0003571429 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001316589
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 2800"
RAW_1 vs RAW_2 
  0.0003448276 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001271219
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 2900"
RAW_1 vs RAW_2 
  0.0003333333 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001228871
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 3000"
RAW_1 vs RAW_2 
  0.0003225806 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001189253
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 3100"
RAW_1 vs RAW_2 
     0.0003125 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001152111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 3200"
RAW_1 vs RAW_2 
  0.0003030303 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001117218
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 3300"
RAW_1 vs RAW_2 
  0.0002941176 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001084376
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 3400"
RAW_1 vs RAW_2 
  0.0002857143 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00105341
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 3500"
RAW_1 vs RAW_2 
  0.0002777778 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001024164
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 3600"
RAW_1 vs RAW_2 
  0.0002702703 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009964976
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 3700"
RAW_1 vs RAW_2 
  0.0002631579 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009702867
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 3800"
RAW_1 vs RAW_2 
  0.0002564103 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009454193
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 3900"
RAW_1 vs RAW_2 
       0.00025 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009217947
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 4000"
RAW_1 vs RAW_2 
  0.0002439024 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008993221
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 4100"
RAW_1 vs RAW_2 
  0.0002380952 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.000877919
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 4200"
RAW_1 vs RAW_2 
  0.0002325581 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008575111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 4300"
RAW_1 vs RAW_2 
  0.0002272727 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008380304
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 4400"
RAW_1 vs RAW_2 
  0.0002222222 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008194151
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 4500"
RAW_1 vs RAW_2 
  0.0002173913 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008016089
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 4600"
RAW_1 vs RAW_2 
   0.000212766 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00078456
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 4700"
RAW_1 vs RAW_2 
  0.0002083333 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007682213
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 4800"
RAW_1 vs RAW_2 
  0.0002040816 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007525492
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 4900"
RAW_1 vs RAW_2 
         2e-04 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007375038
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 5000"
RAW_1 vs RAW_2 
  0.0001960784 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007230482
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 5100"
RAW_1 vs RAW_2 
  0.0001923077 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007091483
[1] "0  Hits so far"

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration:"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 100"
RAW_1 vs RAW_2 
         0.005 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.01827534
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 200"
RAW_1 vs RAW_2 
   0.003333333 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.01222097
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 300"
RAW_1 vs RAW_2 
        0.0025 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.009179805
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 400"
RAW_1 vs RAW_2 
         0.002 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00735061
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 500"
RAW_1 vs RAW_2 
   0.001666667 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.006129271
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 600"
RAW_1 vs RAW_2 
   0.001428571 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.005255967
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 700"
RAW_1 vs RAW_2 
       0.00125 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.004600485
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 800"
RAW_1 vs RAW_2 
   0.001111111 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.004090367
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 900"
RAW_1 vs RAW_2 
         0.001 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.003682084
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 1000"
RAW_1 vs RAW_2 
  0.0009090909 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00334791
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 1100"
RAW_1 vs RAW_2 
  0.0008333333 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.003069346
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 1200"
RAW_1 vs RAW_2 
  0.0007692308 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002833577
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 1300"
RAW_1 vs RAW_2 
  0.0007142857 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002631446
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 1400"
RAW_1 vs RAW_2 
  0.0006666667 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002456231
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 1500"
RAW_1 vs RAW_2 
      0.000625 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002302894
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 1600"
RAW_1 vs RAW_2 
  0.0005882353 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002167576
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 1700"
RAW_1 vs RAW_2 
  0.0005555556 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002047279
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 1800"
RAW_1 vs RAW_2 
  0.0005263158 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001939632
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 1900"
RAW_1 vs RAW_2 
         5e-04 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00184274
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 2000"
RAW_1 vs RAW_2 
  0.0004761905 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001755067
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 2100"
RAW_1 vs RAW_2 
  0.0004545455 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001675358
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 2200"
RAW_1 vs RAW_2 
  0.0004347826 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001602575
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 2300"
RAW_1 vs RAW_2 
  0.0004166667 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001535852
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 2400"
RAW_1 vs RAW_2 
         4e-04 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001474464
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 2500"
RAW_1 vs RAW_2 
  0.0003846154 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001417794
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 2600"
RAW_1 vs RAW_2 
  0.0003703704 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001365319
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 2700"
RAW_1 vs RAW_2 
  0.0003571429 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001316589
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 2800"
RAW_1 vs RAW_2 
  0.0003448276 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001271219
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 2900"
RAW_1 vs RAW_2 
  0.0003333333 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001228871
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 3000"
RAW_1 vs RAW_2 
  0.0003225806 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001189253
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 3100"
RAW_1 vs RAW_2 
     0.0003125 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001152111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 3200"
RAW_1 vs RAW_2 
  0.0003030303 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001117218
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 3300"
RAW_1 vs RAW_2 
  0.0002941176 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001084376
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 3400"
RAW_1 vs RAW_2 
  0.0002857143 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00105341
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 3500"
RAW_1 vs RAW_2 
  0.0002777778 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001024164
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 3600"
RAW_1 vs RAW_2 
  0.0002702703 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009964976
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 3700"
RAW_1 vs RAW_2 
  0.0002631579 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009702867
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 3800"
RAW_1 vs RAW_2 
  0.0002564103 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009454193
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 3900"
RAW_1 vs RAW_2 
       0.00025 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009217947
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 4000"
RAW_1 vs RAW_2 
  0.0002439024 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008993221
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 4100"
RAW_1 vs RAW_2 
  0.0002380952 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.000877919
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 4200"
RAW_1 vs RAW_2 
  0.0002325581 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008575111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 4300"
RAW_1 vs RAW_2 
  0.0002272727 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008380304
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 4400"
RAW_1 vs RAW_2 
  0.0002222222 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008194151
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 4500"
RAW_1 vs RAW_2 
  0.0002173913 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008016089
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 4600"
RAW_1 vs RAW_2 
   0.000212766 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00078456
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 4700"
RAW_1 vs RAW_2 
  0.0002083333 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007682213
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 4800"
RAW_1 vs RAW_2 
  0.0002040816 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007525492
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 4900"
RAW_1 vs RAW_2 
         2e-04 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007375038
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 5000"
RAW_1 vs RAW_2 
  0.0001960784 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007230482
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "TSNEdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 5100"
RAW_1 vs RAW_2 
  0.0001923077 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007091483
[1] "0  Hits so far"

##Compare GANs versus respective RAWs

dophenotype <- function (data, classes, label){
   ## Permute and plot. Using "method"
  pe <- permute(
      mat = data, 
      n=n,
      iter = iterations, 
      classes = classes, 
      projmethod = method,
      verbose=FALSE)
  its=0
  solved=FALSE
  while(solved==FALSE){
      its=its+1
      pe1 <- permute(
          mat = data, 
          n=n,
          iter = iterations, 
          classes = classes, 
          projmethod = method,
          seed=i*iterations,
          verbose=FALSE)
      #assimilate all loops
      pe<-c(pe,pe1)
      text<-paste(label,". Now real iteration:" ,its*iterations)
      print(text)
      print(ClusterSignificance::pvalue(pe))
      print(conf.int(pe, conf.level = 0.95))
      flush.console()
      labs<-unique(classes)
      real=pe@scores.real$"GAN vs RAW"
      simulated=pe@scores.vec$"GAN vs RAW"
      beats<-simulated-real
      perhits <- length(beats[beats>0])
      text<-paste(perhits," Hits so far")
      print(text)
      flush.console()
      pedebug <<-pe
      if ((perhits>0) & (its*iterations>minit)) {solved=TRUE}
      if(its*iterations>maxit){solved=TRUE}
}
return(pe)
} 

for (pheno in seq(1,5)){
  i <- ((pheno-1)*4)+1
  j <- ((pheno-1)*4)+2
  k <- ((pheno-1)*4)+3
  l <- ((pheno-1)*4)+4
  
  label <- paste(use,"clustering, ",method," using  ", i,":",j," and ", k,":",l, ". Now real iteration:" ,sep="")
  print(label)
  #get data and loose any NA
  CON=MANdata[,i:j]
  CON= CON[complete.cases(CON), ]
  names(CON)=c("X","Y")
  TEST=MANdata[,k:l]
  TEST= TEST[complete.cases(TEST), ]
  names(TEST)=c("X","Y")
  # For fair test don't tell Kmeans algo we have two pops ;-)
  data<-rbind(CON,TEST)
  data<-as.matrix(data)
  class1<-rep("GAN", nrow(TEST))
  class2<-rep("RAW",nrow(CON))
  classes=cbind(t(class1),t(class2))[1,]  
  pe<-dophenotype(data,classes,label)
  title<-paste("pheno=",pheno)
  plot(pe,sub=title)
  ClusterSignificance::pvalue(pe)
  conf.int(pe, conf.level = 0.95)
  line <- paste0(label,"\n",ClusterSignificance::pvalue(pe))
  write(line,file="autoGANvRAWoutput.txt",append=TRUE)
  write(conf.int(pe, conf.level = 0.95),file="autoGANvRAWoutput.txt",append=TRUE)
}

[1] "UMAPdata clustering, mlp using  1:2 and 3:4. Now real iteration:"

100 iterations were sucessfully completed for comparison GAN vs RAW
100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  1:2 and 3:4. Now real iteration: . Now real iteration: 100"
GAN vs RAW 
     0.375 
           GAN vs RAW
CI95%-low   0.3077138
CI95%-high  0.4460514
[1] "75  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  1:2 and 3:4. Now real iteration: . Now real iteration: 200"
GAN vs RAW 
 0.3733333 
           GAN vs RAW
CI95%-low   0.3184256
CI95%-high  0.4307698
[1] "112  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  1:2 and 3:4. Now real iteration: . Now real iteration: 300"
GAN vs RAW 
    0.3725 
           GAN vs RAW
CI95%-low   0.3249685
CI95%-high  0.4219334
[1] "149  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  1:2 and 3:4. Now real iteration: . Now real iteration: 400"
GAN vs RAW 
     0.372 
           GAN vs RAW
CI95%-low   0.3295003
CI95%-high  0.4160230
[1] "186  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  1:2 and 3:4. Now real iteration: . Now real iteration: 500"
GAN vs RAW 
 0.3716667 
           GAN vs RAW
CI95%-low   0.3328800
CI95%-high  0.4117234
[1] "223  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  1:2 and 3:4. Now real iteration: . Now real iteration: 600"
GAN vs RAW 
 0.3714286 
           GAN vs RAW
CI95%-low   0.3355268
CI95%-high  0.4084191
[1] "260  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  1:2 and 3:4. Now real iteration: . Now real iteration: 700"
GAN vs RAW 
   0.37125 
           GAN vs RAW
CI95%-low   0.3376731
CI95%-high  0.4057796
[1] "297  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  1:2 and 3:4. Now real iteration: . Now real iteration: 800"
GAN vs RAW 
 0.3711111 
           GAN vs RAW
CI95%-low   0.3394594
CI95%-high  0.4036096
[1] "334  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  1:2 and 3:4. Now real iteration: . Now real iteration: 900"
GAN vs RAW 
     0.371 
           GAN vs RAW
CI95%-low   0.3409767
CI95%-high  0.4017853
[1] "371  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  1:2 and 3:4. Now real iteration: . Now real iteration: 1000"
GAN vs RAW 
 0.3709091 
           GAN vs RAW
CI95%-low   0.3422865
CI95%-high  0.4002244
[1] "408  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  1:2 and 3:4. Now real iteration: . Now real iteration: 1100"
GAN vs RAW 
 0.3708333 
           GAN vs RAW
CI95%-low   0.3434322
CI95%-high  0.3988693
[1] "445  Hits so far"
[1] "UMAPdata clustering, mlp using  5:6 and 7:8. Now real iteration:"

100 iterations were sucessfully completed for comparison GAN vs RAW
100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  5:6 and 7:8. Now real iteration: . Now real iteration: 100"
GAN vs RAW 
     0.735 
           GAN vs RAW
CI95%-low   0.6681299
CI95%-high  0.7947609
[1] "147  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  5:6 and 7:8. Now real iteration: . Now real iteration: 200"
GAN vs RAW 
 0.7366667 
           GAN vs RAW
CI95%-low   0.6829749
CI95%-high  0.7856164
[1] "221  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  5:6 and 7:8. Now real iteration: . Now real iteration: 300"
GAN vs RAW 
    0.7375 
           GAN vs RAW
CI95%-low   0.6914735
CI95%-high  0.7799725
[1] "295  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  5:6 and 7:8. Now real iteration: . Now real iteration: 400"
GAN vs RAW 
     0.738 
           GAN vs RAW
CI95%-low   0.6971214
CI95%-high  0.7760381
[1] "369  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  5:6 and 7:8. Now real iteration: . Now real iteration: 500"
GAN vs RAW 
 0.7383333 
           GAN vs RAW
CI95%-low   0.7012112
CI95%-high  0.7730905
[1] "443  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  5:6 and 7:8. Now real iteration: . Now real iteration: 600"
GAN vs RAW 
 0.7385714 
           GAN vs RAW
CI95%-low   0.7043432
CI95%-high  0.7707743
[1] "517  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  5:6 and 7:8. Now real iteration: . Now real iteration: 700"
GAN vs RAW 
   0.73875 
           GAN vs RAW
CI95%-low   0.7068381
CI95%-high  0.7688911
[1] "591  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  5:6 and 7:8. Now real iteration: . Now real iteration: 800"
GAN vs RAW 
 0.7388889 
           GAN vs RAW
CI95%-low   0.7088846
CI95%-high  0.7673202
[1] "665  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  5:6 and 7:8. Now real iteration: . Now real iteration: 900"
GAN vs RAW 
     0.739 
           GAN vs RAW
CI95%-low   0.7106016
CI95%-high  0.7659836
[1] "739  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  5:6 and 7:8. Now real iteration: . Now real iteration: 1000"
GAN vs RAW 
 0.7390909 
           GAN vs RAW
CI95%-low   0.7120684
CI95%-high  0.7648280
[1] "813  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  5:6 and 7:8. Now real iteration: . Now real iteration: 1100"
GAN vs RAW 
 0.7391667 
           GAN vs RAW
CI95%-low   0.7133399
CI95%-high  0.7638158
[1] "887  Hits so far"

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration:"

100 iterations were sucessfully completed for comparison GAN vs RAW
100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 100"
GAN vs RAW 
     0.005 
           GAN vs RAW
CI95%-low  0.00000000
CI95%-high 0.01827534
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 200"
 GAN vs RAW 
0.003333333 
           GAN vs RAW
CI95%-low  0.00000000
CI95%-high 0.01222097
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 300"
GAN vs RAW 
    0.0025 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.009179805
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 400"
GAN vs RAW 
     0.002 
           GAN vs RAW
CI95%-low  0.00000000
CI95%-high 0.00735061
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 500"
 GAN vs RAW 
0.001666667 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.006129271
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 600"
 GAN vs RAW 
0.001428571 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.005255967
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 700"
GAN vs RAW 
   0.00125 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.004600485
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 800"
 GAN vs RAW 
0.001111111 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.004090367
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 900"
GAN vs RAW 
     0.001 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.003682084
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 1000"
  GAN vs RAW 
0.0009090909 
           GAN vs RAW
CI95%-low  0.00000000
CI95%-high 0.00334791
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 1100"
  GAN vs RAW 
0.0008333333 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.003069346
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 1200"
  GAN vs RAW 
0.0007692308 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.002833577
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 1300"
  GAN vs RAW 
0.0007142857 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.002631446
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 1400"
  GAN vs RAW 
0.0006666667 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.002456231
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 1500"
GAN vs RAW 
  0.000625 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.002302894
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 1600"
  GAN vs RAW 
0.0005882353 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.002167576
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 1700"
  GAN vs RAW 
0.0005555556 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.002047279
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 1800"
  GAN vs RAW 
0.0005263158 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001939632
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 1900"
GAN vs RAW 
     5e-04 
           GAN vs RAW
CI95%-low  0.00000000
CI95%-high 0.00184274
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 2000"
  GAN vs RAW 
0.0004761905 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001755067
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 2100"
  GAN vs RAW 
0.0004545455 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001675358
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 2200"
  GAN vs RAW 
0.0004347826 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001602575
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 2300"
  GAN vs RAW 
0.0004166667 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001535852
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 2400"
GAN vs RAW 
     4e-04 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001474464
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 2500"
  GAN vs RAW 
0.0003846154 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001417794
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 2600"
  GAN vs RAW 
0.0003703704 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001365319
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 2700"
  GAN vs RAW 
0.0003571429 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001316589
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 2800"
  GAN vs RAW 
0.0003448276 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001271219
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 2900"
  GAN vs RAW 
0.0003333333 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001228871
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 3000"
  GAN vs RAW 
0.0003225806 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001189253
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 3100"
GAN vs RAW 
 0.0003125 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001152111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 3200"
  GAN vs RAW 
0.0003030303 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001117218
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 3300"
  GAN vs RAW 
0.0002941176 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001084376
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 3400"
  GAN vs RAW 
0.0002857143 
           GAN vs RAW
CI95%-low  0.00000000
CI95%-high 0.00105341
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 3500"
  GAN vs RAW 
0.0002777778 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001024164
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 3600"
  GAN vs RAW 
0.0002702703 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0009964976
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 3700"
  GAN vs RAW 
0.0002631579 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0009702867
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 3800"
  GAN vs RAW 
0.0002564103 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0009454193
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 3900"
GAN vs RAW 
   0.00025 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0009217947
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 4000"
  GAN vs RAW 
0.0002439024 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0008993221
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 4100"
  GAN vs RAW 
0.0002380952 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.000877919
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 4200"
  GAN vs RAW 
0.0002325581 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0008575111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 4300"
  GAN vs RAW 
0.0002272727 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0008380304
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 4400"
  GAN vs RAW 
0.0002222222 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0008194151
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 4500"
  GAN vs RAW 
0.0002173913 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0008016089
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 4600"
 GAN vs RAW 
0.000212766 
           GAN vs RAW
CI95%-low  0.00000000
CI95%-high 0.00078456
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 4700"
  GAN vs RAW 
0.0002083333 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0007682213
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 4800"
  GAN vs RAW 
0.0002040816 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0007525492
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 4900"
GAN vs RAW 
     2e-04 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0007375038
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 5000"
  GAN vs RAW 
0.0001960784 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0007230482
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  9:10 and 11:12. Now real iteration: . Now real iteration: 5100"
  GAN vs RAW 
0.0001923077 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0007091483
[1] "0  Hits so far"

[1] "UMAPdata clustering, mlp using  13:14 and 15:16. Now real iteration:"

100 iterations were sucessfully completed for comparison GAN vs RAW
100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 100"
GAN vs RAW 
      0.99 
           GAN vs RAW
CI95%-low   0.9643453
CI95%-high  0.9987867
[1] "198  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 200"
GAN vs RAW 
      0.99 
           GAN vs RAW
CI95%-low   0.9710555
CI95%-high  0.9979330
[1] "297  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 300"
GAN vs RAW 
      0.99 
           GAN vs RAW
CI95%-low   0.9745952
CI95%-high  0.9972688
[1] "396  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 400"
GAN vs RAW 
      0.99 
           GAN vs RAW
CI95%-low   0.9768186
CI95%-high  0.9967453
[1] "495  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 500"
GAN vs RAW 
      0.99 
           GAN vs RAW
CI95%-low   0.9783620
CI95%-high  0.9963216
[1] "594  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 600"
GAN vs RAW 
      0.99 
           GAN vs RAW
CI95%-low   0.9795053
CI95%-high  0.9959703
[1] "693  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 700"
GAN vs RAW 
      0.99 
           GAN vs RAW
CI95%-low   0.9803915
CI95%-high  0.9956731
[1] "792  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 800"
GAN vs RAW 
      0.99 
           GAN vs RAW
CI95%-low   0.9811021
CI95%-high  0.9954175
[1] "891  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 900"
GAN vs RAW 
      0.99 
           GAN vs RAW
CI95%-low   0.9816868
CI95%-high  0.9951945
[1] "990  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 1000"
GAN vs RAW 
      0.99 
           GAN vs RAW
CI95%-low   0.9821778
CI95%-high  0.9949978
[1] "1089  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  13:14 and 15:16. Now real iteration: . Now real iteration: 1100"
GAN vs RAW 
      0.99 
           GAN vs RAW
CI95%-low   0.9825972
CI95%-high  0.9948225
[1] "1188  Hits so far"

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration:"

100 iterations were sucessfully completed for comparison GAN vs RAW
100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 100"
GAN vs RAW 
     0.005 
           GAN vs RAW
CI95%-low  0.00000000
CI95%-high 0.01827534
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 200"
 GAN vs RAW 
0.003333333 
           GAN vs RAW
CI95%-low  0.00000000
CI95%-high 0.01222097
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 300"
GAN vs RAW 
    0.0025 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.009179805
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 400"
GAN vs RAW 
     0.002 
           GAN vs RAW
CI95%-low  0.00000000
CI95%-high 0.00735061
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 500"
 GAN vs RAW 
0.001666667 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.006129271
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 600"
 GAN vs RAW 
0.001428571 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.005255967
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 700"
GAN vs RAW 
   0.00125 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.004600485
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 800"
 GAN vs RAW 
0.001111111 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.004090367
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 900"
GAN vs RAW 
     0.001 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.003682084
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 1000"
  GAN vs RAW 
0.0009090909 
           GAN vs RAW
CI95%-low  0.00000000
CI95%-high 0.00334791
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 1100"
  GAN vs RAW 
0.0008333333 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.003069346
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 1200"
  GAN vs RAW 
0.0007692308 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.002833577
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 1300"
  GAN vs RAW 
0.0007142857 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.002631446
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 1400"
  GAN vs RAW 
0.0006666667 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.002456231
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 1500"
GAN vs RAW 
  0.000625 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.002302894
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 1600"
  GAN vs RAW 
0.0005882353 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.002167576
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 1700"
  GAN vs RAW 
0.0005555556 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.002047279
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 1800"
  GAN vs RAW 
0.0005263158 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001939632
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 1900"
GAN vs RAW 
     5e-04 
           GAN vs RAW
CI95%-low  0.00000000
CI95%-high 0.00184274
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 2000"
  GAN vs RAW 
0.0004761905 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001755067
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 2100"
  GAN vs RAW 
0.0004545455 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001675358
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 2200"
  GAN vs RAW 
0.0004347826 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001602575
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 2300"
  GAN vs RAW 
0.0004166667 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001535852
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 2400"
GAN vs RAW 
     4e-04 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001474464
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 2500"
  GAN vs RAW 
0.0003846154 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001417794
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 2600"
  GAN vs RAW 
0.0003703704 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001365319
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 2700"
  GAN vs RAW 
0.0003571429 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001316589
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 2800"
  GAN vs RAW 
0.0003448276 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001271219
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 2900"
  GAN vs RAW 
0.0003333333 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001228871
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 3000"
  GAN vs RAW 
0.0003225806 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001189253
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 3100"
GAN vs RAW 
 0.0003125 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001152111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 3200"
  GAN vs RAW 
0.0003030303 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001117218
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 3300"
  GAN vs RAW 
0.0002941176 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001084376
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 3400"
  GAN vs RAW 
0.0002857143 
           GAN vs RAW
CI95%-low  0.00000000
CI95%-high 0.00105341
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 3500"
  GAN vs RAW 
0.0002777778 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.001024164
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 3600"
  GAN vs RAW 
0.0002702703 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0009964976
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 3700"
  GAN vs RAW 
0.0002631579 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0009702867
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 3800"
  GAN vs RAW 
0.0002564103 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0009454193
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 3900"
GAN vs RAW 
   0.00025 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0009217947
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 4000"
  GAN vs RAW 
0.0002439024 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0008993221
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 4100"
  GAN vs RAW 
0.0002380952 
            GAN vs RAW
CI95%-low  0.000000000
CI95%-high 0.000877919
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 4200"
  GAN vs RAW 
0.0002325581 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0008575111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 4300"
  GAN vs RAW 
0.0002272727 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0008380304
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 4400"
  GAN vs RAW 
0.0002222222 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0008194151
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 4500"
  GAN vs RAW 
0.0002173913 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0008016089
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 4600"
 GAN vs RAW 
0.000212766 
           GAN vs RAW
CI95%-low  0.00000000
CI95%-high 0.00078456
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 4700"
  GAN vs RAW 
0.0002083333 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0007682213
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 4800"
  GAN vs RAW 
0.0002040816 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0007525492
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 4900"
GAN vs RAW 
     2e-04 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0007375038
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 5000"
  GAN vs RAW 
0.0001960784 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0007230482
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN vs RAW

[1] "UMAPdata clustering, mlp using  17:18 and 19:20. Now real iteration: . Now real iteration: 5100"
  GAN vs RAW 
0.0001923077 
             GAN vs RAW
CI95%-low  0.0000000000
CI95%-high 0.0007091483
[1] "0  Hits so far"

NA
NA

##Are the GANs different to each other?

[1] "1 : 2"
[1] "1 : 3"
[1] "1 : 4"
[1] "1 : 5"
[1] "2 : 3"
[1] "2 : 4"
[1] "2 : 5"
[1] "3 : 4"
[1] "3 : 5"
[1] "4 : 5"
[1] "UMAPdata clustering, mlp using  1:2 and 5:6. Now real iteration:"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 5:6. Now real iteration: . Now real iteration: 100"
GAN_1 vs GAN_2 
          0.59 
           GAN_1 vs GAN_2
CI95%-low       0.5184216
CI95%-high      0.6588694
[1] "118  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 5:6. Now real iteration: . Now real iteration: 200"
GAN_1 vs GAN_2 
          0.59 
           GAN_1 vs GAN_2
CI95%-low       0.5320163
CI95%-high      0.6461880
[1] "177  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 5:6. Now real iteration: . Now real iteration: 300"
GAN_1 vs GAN_2 
          0.59 
           GAN_1 vs GAN_2
CI95%-low       0.5400323
CI95%-high      0.6386260
[1] "236  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 5:6. Now real iteration: . Now real iteration: 400"
GAN_1 vs GAN_2 
          0.59 
           GAN_1 vs GAN_2
CI95%-low       0.5454626
CI95%-high      0.6334669
[1] "295  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 5:6. Now real iteration: . Now real iteration: 500"
GAN_1 vs GAN_2 
          0.59 
           GAN_1 vs GAN_2
CI95%-low       0.5494493
CI95%-high      0.6296605
[1] "354  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 5:6. Now real iteration: . Now real iteration: 600"
GAN_1 vs GAN_2 
          0.59 
           GAN_1 vs GAN_2
CI95%-low       0.5525347
CI95%-high      0.6267035
[1] "413  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 5:6. Now real iteration: . Now real iteration: 700"
GAN_1 vs GAN_2 
          0.59 
           GAN_1 vs GAN_2
CI95%-low       0.5550133
CI95%-high      0.6243210
[1] "472  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 5:6. Now real iteration: . Now real iteration: 800"
GAN_1 vs GAN_2 
          0.59 
           GAN_1 vs GAN_2
CI95%-low       0.5570606
CI95%-high      0.6223484
[1] "531  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 5:6. Now real iteration: . Now real iteration: 900"
GAN_1 vs GAN_2 
          0.59 
           GAN_1 vs GAN_2
CI95%-low       0.5587883
CI95%-high      0.6206802
[1] "590  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 5:6. Now real iteration: . Now real iteration: 1000"
GAN_1 vs GAN_2 
          0.59 
           GAN_1 vs GAN_2
CI95%-low       0.5602717
CI95%-high      0.6192456
[1] "649  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 5:6. Now real iteration: . Now real iteration: 1100"
GAN_1 vs GAN_2 
          0.59 
           GAN_1 vs GAN_2
CI95%-low       0.5615632
CI95%-high      0.6179946
[1] "708  Hits so far"
[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration:"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 100"
GAN_1 vs GAN_2 
         0.005 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.01827534
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 200"
GAN_1 vs GAN_2 
   0.003333333 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.01222097
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 300"
GAN_1 vs GAN_2 
        0.0025 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.009179805
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 400"
GAN_1 vs GAN_2 
         0.002 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00735061
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 500"
GAN_1 vs GAN_2 
   0.001666667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.006129271
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 600"
GAN_1 vs GAN_2 
   0.001428571 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.005255967
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 700"
GAN_1 vs GAN_2 
       0.00125 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.004600485
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 800"
GAN_1 vs GAN_2 
   0.001111111 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.004090367
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 900"
GAN_1 vs GAN_2 
         0.001 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.003682084
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 1000"
GAN_1 vs GAN_2 
  0.0009090909 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00334791
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 1100"
GAN_1 vs GAN_2 
  0.0008333333 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.003069346
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 1200"
GAN_1 vs GAN_2 
  0.0007692308 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002833577
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 1300"
GAN_1 vs GAN_2 
  0.0007142857 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002631446
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 1400"
GAN_1 vs GAN_2 
  0.0006666667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002456231
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 1500"
GAN_1 vs GAN_2 
      0.000625 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002302894
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 1600"
GAN_1 vs GAN_2 
  0.0005882353 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002167576
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 1700"
GAN_1 vs GAN_2 
  0.0005555556 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002047279
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 1800"
GAN_1 vs GAN_2 
  0.0005263158 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001939632
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 1900"
GAN_1 vs GAN_2 
         5e-04 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00184274
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 2000"
GAN_1 vs GAN_2 
  0.0004761905 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001755067
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 2100"
GAN_1 vs GAN_2 
  0.0004545455 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001675358
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 2200"
GAN_1 vs GAN_2 
  0.0004347826 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001602575
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 2300"
GAN_1 vs GAN_2 
  0.0004166667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001535852
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 2400"
GAN_1 vs GAN_2 
         4e-04 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001474464
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 2500"
GAN_1 vs GAN_2 
  0.0003846154 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001417794
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 2600"
GAN_1 vs GAN_2 
  0.0003703704 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001365319
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 2700"
GAN_1 vs GAN_2 
  0.0003571429 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001316589
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 2800"
GAN_1 vs GAN_2 
  0.0003448276 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001271219
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 2900"
GAN_1 vs GAN_2 
  0.0003333333 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001228871
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 3000"
GAN_1 vs GAN_2 
  0.0003225806 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001189253
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 3100"
GAN_1 vs GAN_2 
     0.0003125 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001152111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 3200"
GAN_1 vs GAN_2 
  0.0003030303 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001117218
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 3300"
GAN_1 vs GAN_2 
  0.0002941176 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001084376
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 3400"
GAN_1 vs GAN_2 
  0.0002857143 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00105341
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 3500"
GAN_1 vs GAN_2 
  0.0002777778 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001024164
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 3600"
GAN_1 vs GAN_2 
  0.0002702703 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009964976
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 3700"
GAN_1 vs GAN_2 
  0.0002631579 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009702867
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 3800"
GAN_1 vs GAN_2 
  0.0002564103 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009454193
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 3900"
GAN_1 vs GAN_2 
       0.00025 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009217947
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 4000"
GAN_1 vs GAN_2 
  0.0002439024 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008993221
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 4100"
GAN_1 vs GAN_2 
  0.0002380952 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.000877919
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 4200"
GAN_1 vs GAN_2 
  0.0002325581 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008575111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 4300"
GAN_1 vs GAN_2 
  0.0002272727 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008380304
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 4400"
GAN_1 vs GAN_2 
  0.0002222222 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008194151
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 4500"
GAN_1 vs GAN_2 
  0.0002173913 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008016089
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 4600"
GAN_1 vs GAN_2 
   0.000212766 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00078456
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 4700"
GAN_1 vs GAN_2 
  0.0002083333 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007682213
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 4800"
GAN_1 vs GAN_2 
  0.0002040816 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007525492
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 4900"
GAN_1 vs GAN_2 
         2e-04 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007375038
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 5000"
GAN_1 vs GAN_2 
  0.0001960784 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007230482
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 9:10. Now real iteration: . Now real iteration: 5100"
GAN_1 vs GAN_2 
  0.0001923077 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007091483
[1] "0  Hits so far"

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration:"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 100"
GAN_1 vs GAN_2 
         0.005 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.01827534
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 200"
GAN_1 vs GAN_2 
   0.003333333 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.01222097
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 300"
GAN_1 vs GAN_2 
        0.0025 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.009179805
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 400"
GAN_1 vs GAN_2 
         0.002 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00735061
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 500"
GAN_1 vs GAN_2 
   0.001666667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.006129271
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 600"
GAN_1 vs GAN_2 
   0.001428571 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.005255967
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 700"
GAN_1 vs GAN_2 
       0.00125 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.004600485
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 800"
GAN_1 vs GAN_2 
   0.001111111 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.004090367
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 900"
GAN_1 vs GAN_2 
         0.001 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.003682084
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 1000"
GAN_1 vs GAN_2 
  0.0009090909 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00334791
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 1100"
GAN_1 vs GAN_2 
  0.0008333333 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.003069346
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 1200"
GAN_1 vs GAN_2 
  0.0007692308 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002833577
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 1300"
GAN_1 vs GAN_2 
  0.0007142857 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002631446
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 1400"
GAN_1 vs GAN_2 
  0.0006666667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002456231
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 1500"
GAN_1 vs GAN_2 
      0.000625 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002302894
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 1600"
GAN_1 vs GAN_2 
  0.0005882353 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002167576
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 1700"
GAN_1 vs GAN_2 
  0.0005555556 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002047279
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 1800"
GAN_1 vs GAN_2 
  0.0005263158 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001939632
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 1900"
GAN_1 vs GAN_2 
         5e-04 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00184274
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 2000"
GAN_1 vs GAN_2 
  0.0004761905 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001755067
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 2100"
GAN_1 vs GAN_2 
  0.0004545455 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001675358
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 2200"
GAN_1 vs GAN_2 
  0.0004347826 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001602575
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 2300"
GAN_1 vs GAN_2 
  0.0004166667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001535852
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 2400"
GAN_1 vs GAN_2 
         4e-04 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001474464
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 2500"
GAN_1 vs GAN_2 
  0.0003846154 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001417794
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 2600"
GAN_1 vs GAN_2 
  0.0003703704 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001365319
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 2700"
GAN_1 vs GAN_2 
  0.0003571429 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001316589
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 2800"
GAN_1 vs GAN_2 
  0.0003448276 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001271219
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 2900"
GAN_1 vs GAN_2 
  0.0003333333 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001228871
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 3000"
GAN_1 vs GAN_2 
  0.0003225806 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001189253
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 3100"
GAN_1 vs GAN_2 
     0.0003125 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001152111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 3200"
GAN_1 vs GAN_2 
  0.0003030303 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001117218
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 3300"
GAN_1 vs GAN_2 
  0.0002941176 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001084376
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 3400"
GAN_1 vs GAN_2 
  0.0002857143 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00105341
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 3500"
GAN_1 vs GAN_2 
  0.0002777778 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001024164
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 3600"
GAN_1 vs GAN_2 
  0.0002702703 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009964976
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 3700"
GAN_1 vs GAN_2 
  0.0002631579 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009702867
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 3800"
GAN_1 vs GAN_2 
  0.0002564103 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009454193
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 3900"
GAN_1 vs GAN_2 
       0.00025 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009217947
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 4000"
GAN_1 vs GAN_2 
  0.0002439024 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008993221
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 4100"
GAN_1 vs GAN_2 
  0.0002380952 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.000877919
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 4200"
GAN_1 vs GAN_2 
  0.0002325581 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008575111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 4300"
GAN_1 vs GAN_2 
  0.0002272727 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008380304
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 4400"
GAN_1 vs GAN_2 
  0.0002222222 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008194151
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 4500"
GAN_1 vs GAN_2 
  0.0002173913 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008016089
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 4600"
GAN_1 vs GAN_2 
   0.000212766 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00078456
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 4700"
GAN_1 vs GAN_2 
  0.0002083333 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007682213
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 4800"
GAN_1 vs GAN_2 
  0.0002040816 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007525492
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 4900"
GAN_1 vs GAN_2 
         2e-04 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007375038
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 5000"
GAN_1 vs GAN_2 
  0.0001960784 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007230482
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 13:14. Now real iteration: . Now real iteration: 5100"
GAN_1 vs GAN_2 
  0.0001923077 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007091483
[1] "0  Hits so far"

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration:"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 100"
GAN_1 vs GAN_2 
         0.005 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.01827534
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 200"
GAN_1 vs GAN_2 
   0.003333333 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.01222097
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 300"
GAN_1 vs GAN_2 
        0.0025 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.009179805
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 400"
GAN_1 vs GAN_2 
         0.002 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00735061
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 500"
GAN_1 vs GAN_2 
   0.001666667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.006129271
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 600"
GAN_1 vs GAN_2 
   0.001428571 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.005255967
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 700"
GAN_1 vs GAN_2 
       0.00125 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.004600485
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 800"
GAN_1 vs GAN_2 
   0.001111111 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.004090367
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 900"
GAN_1 vs GAN_2 
         0.001 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.003682084
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 1000"
GAN_1 vs GAN_2 
  0.0009090909 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00334791
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 1100"
GAN_1 vs GAN_2 
  0.0008333333 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.003069346
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 1200"
GAN_1 vs GAN_2 
  0.0007692308 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002833577
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 1300"
GAN_1 vs GAN_2 
  0.0007142857 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002631446
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 1400"
GAN_1 vs GAN_2 
  0.0006666667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002456231
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 1500"
GAN_1 vs GAN_2 
      0.000625 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002302894
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 1600"
GAN_1 vs GAN_2 
  0.0005882353 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002167576
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 1700"
GAN_1 vs GAN_2 
  0.0005555556 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002047279
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 1800"
GAN_1 vs GAN_2 
  0.0005263158 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001939632
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 1900"
GAN_1 vs GAN_2 
         5e-04 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00184274
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 2000"
GAN_1 vs GAN_2 
  0.0004761905 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001755067
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 2100"
GAN_1 vs GAN_2 
  0.0004545455 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001675358
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 2200"
GAN_1 vs GAN_2 
  0.0004347826 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001602575
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 2300"
GAN_1 vs GAN_2 
  0.0004166667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001535852
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 2400"
GAN_1 vs GAN_2 
         4e-04 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001474464
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 2500"
GAN_1 vs GAN_2 
  0.0003846154 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001417794
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 2600"
GAN_1 vs GAN_2 
  0.0003703704 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001365319
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 2700"
GAN_1 vs GAN_2 
  0.0003571429 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001316589
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 2800"
GAN_1 vs GAN_2 
  0.0003448276 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001271219
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 2900"
GAN_1 vs GAN_2 
  0.0003333333 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001228871
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 3000"
GAN_1 vs GAN_2 
  0.0003225806 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001189253
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 3100"
GAN_1 vs GAN_2 
     0.0003125 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001152111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 3200"
GAN_1 vs GAN_2 
  0.0003030303 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001117218
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 3300"
GAN_1 vs GAN_2 
  0.0002941176 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001084376
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 3400"
GAN_1 vs GAN_2 
  0.0002857143 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00105341
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 3500"
GAN_1 vs GAN_2 
  0.0002777778 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001024164
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 3600"
GAN_1 vs GAN_2 
  0.0002702703 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009964976
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 3700"
GAN_1 vs GAN_2 
  0.0002631579 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009702867
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 3800"
GAN_1 vs GAN_2 
  0.0002564103 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009454193
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 3900"
GAN_1 vs GAN_2 
       0.00025 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009217947
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 4000"
GAN_1 vs GAN_2 
  0.0002439024 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008993221
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 4100"
GAN_1 vs GAN_2 
  0.0002380952 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.000877919
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 4200"
GAN_1 vs GAN_2 
  0.0002325581 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008575111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 4300"
GAN_1 vs GAN_2 
  0.0002272727 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008380304
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 4400"
GAN_1 vs GAN_2 
  0.0002222222 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008194151
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 4500"
GAN_1 vs GAN_2 
  0.0002173913 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008016089
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 4600"
GAN_1 vs GAN_2 
   0.000212766 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00078456
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 4700"
GAN_1 vs GAN_2 
  0.0002083333 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007682213
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 4800"
GAN_1 vs GAN_2 
  0.0002040816 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007525492
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 4900"
GAN_1 vs GAN_2 
         2e-04 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007375038
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 5000"
GAN_1 vs GAN_2 
  0.0001960784 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007230482
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  1:2 and 17:18. Now real iteration: . Now real iteration: 5100"
GAN_1 vs GAN_2 
  0.0001923077 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007091483
[1] "0  Hits so far"

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration:"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 100"
GAN_1 vs GAN_2 
         0.005 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.01827534
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 200"
GAN_1 vs GAN_2 
   0.003333333 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.01222097
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 300"
GAN_1 vs GAN_2 
        0.0025 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.009179805
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 400"
GAN_1 vs GAN_2 
         0.002 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00735061
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 500"
GAN_1 vs GAN_2 
   0.001666667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.006129271
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 600"
GAN_1 vs GAN_2 
   0.001428571 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.005255967
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 700"
GAN_1 vs GAN_2 
       0.00125 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.004600485
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 800"
GAN_1 vs GAN_2 
   0.001111111 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.004090367
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 900"
GAN_1 vs GAN_2 
         0.001 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.003682084
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 1000"
GAN_1 vs GAN_2 
  0.0009090909 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00334791
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 1100"
GAN_1 vs GAN_2 
  0.0008333333 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.003069346
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 1200"
GAN_1 vs GAN_2 
  0.0007692308 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002833577
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 1300"
GAN_1 vs GAN_2 
  0.0007142857 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002631446
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 1400"
GAN_1 vs GAN_2 
  0.0006666667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002456231
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 1500"
GAN_1 vs GAN_2 
      0.000625 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002302894
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 1600"
GAN_1 vs GAN_2 
  0.0005882353 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002167576
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 1700"
GAN_1 vs GAN_2 
  0.0005555556 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002047279
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 1800"
GAN_1 vs GAN_2 
  0.0005263158 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001939632
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 1900"
GAN_1 vs GAN_2 
         5e-04 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00184274
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 2000"
GAN_1 vs GAN_2 
  0.0004761905 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001755067
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 2100"
GAN_1 vs GAN_2 
  0.0004545455 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001675358
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 2200"
GAN_1 vs GAN_2 
  0.0004347826 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001602575
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 2300"
GAN_1 vs GAN_2 
  0.0004166667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001535852
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 2400"
GAN_1 vs GAN_2 
         4e-04 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001474464
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 2500"
GAN_1 vs GAN_2 
  0.0003846154 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001417794
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 2600"
GAN_1 vs GAN_2 
  0.0003703704 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001365319
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 2700"
GAN_1 vs GAN_2 
  0.0003571429 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001316589
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 2800"
GAN_1 vs GAN_2 
  0.0003448276 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001271219
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 2900"
GAN_1 vs GAN_2 
  0.0003333333 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001228871
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 3000"
GAN_1 vs GAN_2 
  0.0003225806 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001189253
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 3100"
GAN_1 vs GAN_2 
     0.0003125 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001152111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 3200"
GAN_1 vs GAN_2 
  0.0003030303 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001117218
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 3300"
GAN_1 vs GAN_2 
  0.0002941176 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001084376
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 3400"
GAN_1 vs GAN_2 
  0.0002857143 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00105341
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 3500"
GAN_1 vs GAN_2 
  0.0002777778 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001024164
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 3600"
GAN_1 vs GAN_2 
  0.0002702703 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009964976
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 3700"
GAN_1 vs GAN_2 
  0.0002631579 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009702867
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 3800"
GAN_1 vs GAN_2 
  0.0002564103 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009454193
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 3900"
GAN_1 vs GAN_2 
       0.00025 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009217947
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 4000"
GAN_1 vs GAN_2 
  0.0002439024 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008993221
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 4100"
GAN_1 vs GAN_2 
  0.0002380952 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.000877919
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 4200"
GAN_1 vs GAN_2 
  0.0002325581 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008575111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 4300"
GAN_1 vs GAN_2 
  0.0002272727 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008380304
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 4400"
GAN_1 vs GAN_2 
  0.0002222222 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008194151
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 4500"
GAN_1 vs GAN_2 
  0.0002173913 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008016089
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 4600"
GAN_1 vs GAN_2 
   0.000212766 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00078456
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 4700"
GAN_1 vs GAN_2 
  0.0002083333 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007682213
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 4800"
GAN_1 vs GAN_2 
  0.0002040816 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007525492
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 4900"
GAN_1 vs GAN_2 
         2e-04 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007375038
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 5000"
GAN_1 vs GAN_2 
  0.0001960784 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007230482
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 9:10. Now real iteration: . Now real iteration: 5100"
GAN_1 vs GAN_2 
  0.0001923077 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007091483
[1] "0  Hits so far"

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration:"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 100"
GAN_1 vs GAN_2 
         0.005 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.01827534
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 200"
GAN_1 vs GAN_2 
   0.003333333 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.01222097
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 300"
GAN_1 vs GAN_2 
        0.0025 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.009179805
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 400"
GAN_1 vs GAN_2 
         0.002 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00735061
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 500"
GAN_1 vs GAN_2 
   0.001666667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.006129271
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 600"
GAN_1 vs GAN_2 
   0.001428571 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.005255967
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 700"
GAN_1 vs GAN_2 
       0.00125 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.004600485
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 800"
GAN_1 vs GAN_2 
   0.001111111 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.004090367
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 900"
GAN_1 vs GAN_2 
         0.001 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.003682084
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 1000"
GAN_1 vs GAN_2 
  0.0009090909 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00334791
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 1100"
GAN_1 vs GAN_2 
  0.0008333333 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.003069346
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 1200"
GAN_1 vs GAN_2 
  0.0007692308 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002833577
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 1300"
GAN_1 vs GAN_2 
  0.0007142857 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002631446
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 1400"
GAN_1 vs GAN_2 
  0.0006666667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002456231
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 1500"
GAN_1 vs GAN_2 
      0.000625 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002302894
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 1600"
GAN_1 vs GAN_2 
  0.0005882353 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002167576
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 1700"
GAN_1 vs GAN_2 
  0.0005555556 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002047279
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 1800"
GAN_1 vs GAN_2 
  0.0005263158 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001939632
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 1900"
GAN_1 vs GAN_2 
         5e-04 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00184274
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 2000"
GAN_1 vs GAN_2 
  0.0004761905 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001755067
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 2100"
GAN_1 vs GAN_2 
  0.0004545455 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001675358
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 2200"
GAN_1 vs GAN_2 
  0.0004347826 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001602575
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 2300"
GAN_1 vs GAN_2 
  0.0004166667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001535852
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 2400"
GAN_1 vs GAN_2 
         4e-04 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001474464
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 2500"
GAN_1 vs GAN_2 
  0.0003846154 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001417794
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 2600"
GAN_1 vs GAN_2 
  0.0003703704 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001365319
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 2700"
GAN_1 vs GAN_2 
  0.0003571429 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001316589
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 2800"
GAN_1 vs GAN_2 
  0.0003448276 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001271219
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 2900"
GAN_1 vs GAN_2 
  0.0003333333 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001228871
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 3000"
GAN_1 vs GAN_2 
  0.0003225806 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001189253
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 3100"
GAN_1 vs GAN_2 
     0.0003125 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001152111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 3200"
GAN_1 vs GAN_2 
  0.0003030303 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001117218
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 3300"
GAN_1 vs GAN_2 
  0.0002941176 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001084376
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 3400"
GAN_1 vs GAN_2 
  0.0002857143 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00105341
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 3500"
GAN_1 vs GAN_2 
  0.0002777778 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001024164
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 3600"
GAN_1 vs GAN_2 
  0.0002702703 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009964976
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 3700"
GAN_1 vs GAN_2 
  0.0002631579 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009702867
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 3800"
GAN_1 vs GAN_2 
  0.0002564103 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009454193
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 3900"
GAN_1 vs GAN_2 
       0.00025 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009217947
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 4000"
GAN_1 vs GAN_2 
  0.0002439024 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008993221
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 4100"
GAN_1 vs GAN_2 
  0.0002380952 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.000877919
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 4200"
GAN_1 vs GAN_2 
  0.0002325581 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008575111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 4300"
GAN_1 vs GAN_2 
  0.0002272727 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008380304
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 4400"
GAN_1 vs GAN_2 
  0.0002222222 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008194151
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 4500"
GAN_1 vs GAN_2 
  0.0002173913 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008016089
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 4600"
GAN_1 vs GAN_2 
   0.000212766 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00078456
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 4700"
GAN_1 vs GAN_2 
  0.0002083333 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007682213
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 4800"
GAN_1 vs GAN_2 
  0.0002040816 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007525492
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 4900"
GAN_1 vs GAN_2 
         2e-04 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007375038
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 5000"
GAN_1 vs GAN_2 
  0.0001960784 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007230482
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 13:14. Now real iteration: . Now real iteration: 5100"
GAN_1 vs GAN_2 
  0.0001923077 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007091483
[1] "0  Hits so far"

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration:"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 100"
GAN_1 vs GAN_2 
         0.005 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.01827534
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 200"
GAN_1 vs GAN_2 
   0.003333333 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.01222097
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 300"
GAN_1 vs GAN_2 
        0.0025 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.009179805
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 400"
GAN_1 vs GAN_2 
         0.002 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00735061
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 500"
GAN_1 vs GAN_2 
   0.001666667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.006129271
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 600"
GAN_1 vs GAN_2 
   0.001428571 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.005255967
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 700"
GAN_1 vs GAN_2 
       0.00125 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.004600485
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 800"
GAN_1 vs GAN_2 
   0.001111111 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.004090367
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 900"
GAN_1 vs GAN_2 
         0.001 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.003682084
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 1000"
GAN_1 vs GAN_2 
  0.0009090909 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00334791
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 1100"
GAN_1 vs GAN_2 
  0.0008333333 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.003069346
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 1200"
GAN_1 vs GAN_2 
  0.0007692308 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002833577
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 1300"
GAN_1 vs GAN_2 
  0.0007142857 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002631446
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 1400"
GAN_1 vs GAN_2 
  0.0006666667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002456231
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 1500"
GAN_1 vs GAN_2 
      0.000625 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002302894
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 1600"
GAN_1 vs GAN_2 
  0.0005882353 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002167576
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 1700"
GAN_1 vs GAN_2 
  0.0005555556 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002047279
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 1800"
GAN_1 vs GAN_2 
  0.0005263158 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001939632
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 1900"
GAN_1 vs GAN_2 
         5e-04 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00184274
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 2000"
GAN_1 vs GAN_2 
  0.0004761905 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001755067
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 2100"
GAN_1 vs GAN_2 
  0.0004545455 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001675358
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 2200"
GAN_1 vs GAN_2 
  0.0004347826 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001602575
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 2300"
GAN_1 vs GAN_2 
  0.0004166667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001535852
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 2400"
GAN_1 vs GAN_2 
         4e-04 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001474464
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 2500"
GAN_1 vs GAN_2 
  0.0003846154 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001417794
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 2600"
GAN_1 vs GAN_2 
  0.0003703704 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001365319
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 2700"
GAN_1 vs GAN_2 
  0.0003571429 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001316589
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 2800"
GAN_1 vs GAN_2 
  0.0003448276 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001271219
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 2900"
GAN_1 vs GAN_2 
  0.0003333333 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001228871
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 3000"
GAN_1 vs GAN_2 
  0.0003225806 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001189253
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 3100"
GAN_1 vs GAN_2 
     0.0003125 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001152111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 3200"
GAN_1 vs GAN_2 
  0.0003030303 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001117218
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 3300"
GAN_1 vs GAN_2 
  0.0002941176 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001084376
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 3400"
GAN_1 vs GAN_2 
  0.0002857143 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00105341
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 3500"
GAN_1 vs GAN_2 
  0.0002777778 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001024164
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 3600"
GAN_1 vs GAN_2 
  0.0002702703 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009964976
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 3700"
GAN_1 vs GAN_2 
  0.0002631579 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009702867
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 3800"
GAN_1 vs GAN_2 
  0.0002564103 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009454193
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 3900"
GAN_1 vs GAN_2 
       0.00025 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009217947
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 4000"
GAN_1 vs GAN_2 
  0.0002439024 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008993221
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 4100"
GAN_1 vs GAN_2 
  0.0002380952 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.000877919
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 4200"
GAN_1 vs GAN_2 
  0.0002325581 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008575111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 4300"
GAN_1 vs GAN_2 
  0.0002272727 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008380304
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 4400"
GAN_1 vs GAN_2 
  0.0002222222 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008194151
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 4500"
GAN_1 vs GAN_2 
  0.0002173913 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008016089
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 4600"
GAN_1 vs GAN_2 
   0.000212766 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00078456
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 4700"
GAN_1 vs GAN_2 
  0.0002083333 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007682213
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 4800"
GAN_1 vs GAN_2 
  0.0002040816 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007525492
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 4900"
GAN_1 vs GAN_2 
         2e-04 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007375038
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 5000"
GAN_1 vs GAN_2 
  0.0001960784 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007230482
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  5:6 and 17:18. Now real iteration: . Now real iteration: 5100"
GAN_1 vs GAN_2 
  0.0001923077 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007091483
[1] "0  Hits so far"

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration:"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 100"
GAN_1 vs GAN_2 
         0.005 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.01827534
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 200"
GAN_1 vs GAN_2 
   0.003333333 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.01222097
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 300"
GAN_1 vs GAN_2 
        0.0025 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.009179805
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 400"
GAN_1 vs GAN_2 
         0.002 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00735061
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 500"
GAN_1 vs GAN_2 
   0.001666667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.006129271
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 600"
GAN_1 vs GAN_2 
   0.001428571 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.005255967
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 700"
GAN_1 vs GAN_2 
       0.00125 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.004600485
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 800"
GAN_1 vs GAN_2 
   0.001111111 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.004090367
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 900"
GAN_1 vs GAN_2 
         0.001 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.003682084
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 1000"
GAN_1 vs GAN_2 
  0.0009090909 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00334791
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 1100"
GAN_1 vs GAN_2 
  0.0008333333 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.003069346
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 1200"
GAN_1 vs GAN_2 
  0.0007692308 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002833577
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 1300"
GAN_1 vs GAN_2 
  0.0007142857 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002631446
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 1400"
GAN_1 vs GAN_2 
  0.0006666667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002456231
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 1500"
GAN_1 vs GAN_2 
      0.000625 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002302894
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 1600"
GAN_1 vs GAN_2 
  0.0005882353 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002167576
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 1700"
GAN_1 vs GAN_2 
  0.0005555556 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002047279
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 1800"
GAN_1 vs GAN_2 
  0.0005263158 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001939632
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 1900"
GAN_1 vs GAN_2 
         5e-04 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00184274
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 2000"
GAN_1 vs GAN_2 
  0.0004761905 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001755067
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 2100"
GAN_1 vs GAN_2 
  0.0004545455 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001675358
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 2200"
GAN_1 vs GAN_2 
  0.0004347826 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001602575
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 2300"
GAN_1 vs GAN_2 
  0.0004166667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001535852
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 2400"
GAN_1 vs GAN_2 
         4e-04 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001474464
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 2500"
GAN_1 vs GAN_2 
  0.0003846154 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001417794
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 2600"
GAN_1 vs GAN_2 
  0.0003703704 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001365319
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 2700"
GAN_1 vs GAN_2 
  0.0003571429 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001316589
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 2800"
GAN_1 vs GAN_2 
  0.0003448276 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001271219
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 2900"
GAN_1 vs GAN_2 
  0.0003333333 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001228871
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 3000"
GAN_1 vs GAN_2 
  0.0003225806 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001189253
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 3100"
GAN_1 vs GAN_2 
     0.0003125 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001152111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 3200"
GAN_1 vs GAN_2 
  0.0003030303 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001117218
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 3300"
GAN_1 vs GAN_2 
  0.0002941176 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001084376
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 3400"
GAN_1 vs GAN_2 
  0.0002857143 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00105341
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 3500"
GAN_1 vs GAN_2 
  0.0002777778 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001024164
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 3600"
GAN_1 vs GAN_2 
  0.0002702703 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009964976
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 3700"
GAN_1 vs GAN_2 
  0.0002631579 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009702867
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 3800"
GAN_1 vs GAN_2 
  0.0002564103 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009454193
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 3900"
GAN_1 vs GAN_2 
       0.00025 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009217947
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 4000"
GAN_1 vs GAN_2 
  0.0002439024 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008993221
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 4100"
GAN_1 vs GAN_2 
  0.0002380952 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.000877919
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 4200"
GAN_1 vs GAN_2 
  0.0002325581 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008575111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 4300"
GAN_1 vs GAN_2 
  0.0002272727 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008380304
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 4400"
GAN_1 vs GAN_2 
  0.0002222222 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008194151
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 4500"
GAN_1 vs GAN_2 
  0.0002173913 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008016089
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 4600"
GAN_1 vs GAN_2 
   0.000212766 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00078456
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 4700"
GAN_1 vs GAN_2 
  0.0002083333 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007682213
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 4800"
GAN_1 vs GAN_2 
  0.0002040816 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007525492
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 4900"
GAN_1 vs GAN_2 
         2e-04 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007375038
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 5000"
GAN_1 vs GAN_2 
  0.0001960784 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007230482
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 13:14. Now real iteration: . Now real iteration: 5100"
GAN_1 vs GAN_2 
  0.0001923077 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007091483
[1] "0  Hits so far"

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration:"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 100"
GAN_1 vs GAN_2 
         0.005 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.01827534
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 200"
GAN_1 vs GAN_2 
   0.003333333 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.01222097
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 300"
GAN_1 vs GAN_2 
        0.0025 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.009179805
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 400"
GAN_1 vs GAN_2 
         0.002 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00735061
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 500"
GAN_1 vs GAN_2 
   0.001666667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.006129271
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 600"
GAN_1 vs GAN_2 
   0.001428571 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.005255967
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 700"
GAN_1 vs GAN_2 
       0.00125 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.004600485
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 800"
GAN_1 vs GAN_2 
   0.001111111 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.004090367
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 900"
GAN_1 vs GAN_2 
         0.001 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.003682084
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 1000"
GAN_1 vs GAN_2 
  0.0009090909 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00334791
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 1100"
GAN_1 vs GAN_2 
  0.0008333333 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.003069346
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 1200"
GAN_1 vs GAN_2 
  0.0007692308 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002833577
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 1300"
GAN_1 vs GAN_2 
  0.0007142857 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002631446
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 1400"
GAN_1 vs GAN_2 
  0.0006666667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002456231
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 1500"
GAN_1 vs GAN_2 
      0.000625 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002302894
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 1600"
GAN_1 vs GAN_2 
  0.0005882353 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002167576
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 1700"
GAN_1 vs GAN_2 
  0.0005555556 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002047279
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 1800"
GAN_1 vs GAN_2 
  0.0005263158 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001939632
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 1900"
GAN_1 vs GAN_2 
         5e-04 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00184274
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 2000"
GAN_1 vs GAN_2 
  0.0004761905 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001755067
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 2100"
GAN_1 vs GAN_2 
  0.0004545455 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001675358
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 2200"
GAN_1 vs GAN_2 
  0.0004347826 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001602575
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 2300"
GAN_1 vs GAN_2 
  0.0004166667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001535852
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 2400"
GAN_1 vs GAN_2 
         4e-04 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001474464
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 2500"
GAN_1 vs GAN_2 
  0.0003846154 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001417794
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 2600"
GAN_1 vs GAN_2 
  0.0003703704 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001365319
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 2700"
GAN_1 vs GAN_2 
  0.0003571429 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001316589
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 2800"
GAN_1 vs GAN_2 
  0.0003448276 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001271219
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 2900"
GAN_1 vs GAN_2 
  0.0003333333 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001228871
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 3000"
GAN_1 vs GAN_2 
  0.0003225806 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001189253
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 3100"
GAN_1 vs GAN_2 
     0.0003125 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001152111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 3200"
GAN_1 vs GAN_2 
  0.0003030303 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001117218
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 3300"
GAN_1 vs GAN_2 
  0.0002941176 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001084376
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 3400"
GAN_1 vs GAN_2 
  0.0002857143 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00105341
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 3500"
GAN_1 vs GAN_2 
  0.0002777778 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001024164
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 3600"
GAN_1 vs GAN_2 
  0.0002702703 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009964976
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 3700"
GAN_1 vs GAN_2 
  0.0002631579 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009702867
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 3800"
GAN_1 vs GAN_2 
  0.0002564103 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009454193
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 3900"
GAN_1 vs GAN_2 
       0.00025 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009217947
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 4000"
GAN_1 vs GAN_2 
  0.0002439024 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008993221
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 4100"
GAN_1 vs GAN_2 
  0.0002380952 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.000877919
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 4200"
GAN_1 vs GAN_2 
  0.0002325581 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008575111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 4300"
GAN_1 vs GAN_2 
  0.0002272727 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008380304
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 4400"
GAN_1 vs GAN_2 
  0.0002222222 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008194151
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 4500"
GAN_1 vs GAN_2 
  0.0002173913 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008016089
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 4600"
GAN_1 vs GAN_2 
   0.000212766 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00078456
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 4700"
GAN_1 vs GAN_2 
  0.0002083333 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007682213
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 4800"
GAN_1 vs GAN_2 
  0.0002040816 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007525492
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 4900"
GAN_1 vs GAN_2 
         2e-04 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007375038
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 5000"
GAN_1 vs GAN_2 
  0.0001960784 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007230482
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  9:10 and 17:18. Now real iteration: . Now real iteration: 5100"
GAN_1 vs GAN_2 
  0.0001923077 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007091483
[1] "0  Hits so far"

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration:"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2
100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 100"
GAN_1 vs GAN_2 
         0.005 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.01827534
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 200"
GAN_1 vs GAN_2 
   0.003333333 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.01222097
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 300"
GAN_1 vs GAN_2 
        0.0025 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.009179805
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 400"
GAN_1 vs GAN_2 
         0.002 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00735061
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 500"
GAN_1 vs GAN_2 
   0.001666667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.006129271
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 600"
GAN_1 vs GAN_2 
   0.001428571 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.005255967
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 700"
GAN_1 vs GAN_2 
       0.00125 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.004600485
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 800"
GAN_1 vs GAN_2 
   0.001111111 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.004090367
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 900"
GAN_1 vs GAN_2 
         0.001 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.003682084
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 1000"
GAN_1 vs GAN_2 
  0.0009090909 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00334791
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 1100"
GAN_1 vs GAN_2 
  0.0008333333 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.003069346
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 1200"
GAN_1 vs GAN_2 
  0.0007692308 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002833577
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 1300"
GAN_1 vs GAN_2 
  0.0007142857 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002631446
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 1400"
GAN_1 vs GAN_2 
  0.0006666667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002456231
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 1500"
GAN_1 vs GAN_2 
      0.000625 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002302894
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 1600"
GAN_1 vs GAN_2 
  0.0005882353 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002167576
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 1700"
GAN_1 vs GAN_2 
  0.0005555556 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.002047279
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 1800"
GAN_1 vs GAN_2 
  0.0005263158 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001939632
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 1900"
GAN_1 vs GAN_2 
         5e-04 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00184274
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 2000"
GAN_1 vs GAN_2 
  0.0004761905 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001755067
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 2100"
GAN_1 vs GAN_2 
  0.0004545455 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001675358
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 2200"
GAN_1 vs GAN_2 
  0.0004347826 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001602575
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 2300"
GAN_1 vs GAN_2 
  0.0004166667 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001535852
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 2400"
GAN_1 vs GAN_2 
         4e-04 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001474464
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 2500"
GAN_1 vs GAN_2 
  0.0003846154 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001417794
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 2600"
GAN_1 vs GAN_2 
  0.0003703704 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001365319
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 2700"
GAN_1 vs GAN_2 
  0.0003571429 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001316589
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 2800"
GAN_1 vs GAN_2 
  0.0003448276 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001271219
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 2900"
GAN_1 vs GAN_2 
  0.0003333333 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001228871
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 3000"
GAN_1 vs GAN_2 
  0.0003225806 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001189253
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 3100"
GAN_1 vs GAN_2 
     0.0003125 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001152111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 3200"
GAN_1 vs GAN_2 
  0.0003030303 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001117218
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 3300"
GAN_1 vs GAN_2 
  0.0002941176 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001084376
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 3400"
GAN_1 vs GAN_2 
  0.0002857143 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00105341
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 3500"
GAN_1 vs GAN_2 
  0.0002777778 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.001024164
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 3600"
GAN_1 vs GAN_2 
  0.0002702703 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009964976
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 3700"
GAN_1 vs GAN_2 
  0.0002631579 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009702867
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 3800"
GAN_1 vs GAN_2 
  0.0002564103 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009454193
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 3900"
GAN_1 vs GAN_2 
       0.00025 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0009217947
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 4000"
GAN_1 vs GAN_2 
  0.0002439024 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008993221
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 4100"
GAN_1 vs GAN_2 
  0.0002380952 
           GAN_1 vs GAN_2
CI95%-low     0.000000000
CI95%-high    0.000877919
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 4200"
GAN_1 vs GAN_2 
  0.0002325581 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008575111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 4300"
GAN_1 vs GAN_2 
  0.0002272727 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008380304
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 4400"
GAN_1 vs GAN_2 
  0.0002222222 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008194151
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 4500"
GAN_1 vs GAN_2 
  0.0002173913 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0008016089
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 4600"
GAN_1 vs GAN_2 
   0.000212766 
           GAN_1 vs GAN_2
CI95%-low      0.00000000
CI95%-high     0.00078456
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 4700"
GAN_1 vs GAN_2 
  0.0002083333 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007682213
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 4800"
GAN_1 vs GAN_2 
  0.0002040816 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007525492
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 4900"
GAN_1 vs GAN_2 
         2e-04 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007375038
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 5000"
GAN_1 vs GAN_2 
  0.0001960784 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007230482
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison GAN_1 vs GAN_2

[1] "UMAPdata clustering, mlp using  13:14 and 17:18. Now real iteration: . Now real iteration: 5100"
GAN_1 vs GAN_2 
  0.0001923077 
           GAN_1 vs GAN_2
CI95%-low    0.0000000000
CI95%-high   0.0007091483
[1] "0  Hits so far"

##Are the RAWs different to each other?

[1] "1 : 2"
[1] "1 : 3"
[1] "1 : 4"
[1] "1 : 5"
[1] "2 : 3"
[1] "2 : 4"
[1] "2 : 5"
[1] "3 : 4"
[1] "3 : 5"
[1] "4 : 5"
[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration:"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 100"
RAW_1 vs RAW_2 
         0.005 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.01827534
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 200"
RAW_1 vs RAW_2 
   0.003333333 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.01222097
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 300"
RAW_1 vs RAW_2 
        0.0025 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.009179805
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 400"
RAW_1 vs RAW_2 
         0.002 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00735061
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 500"
RAW_1 vs RAW_2 
   0.001666667 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.006129271
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 600"
RAW_1 vs RAW_2 
   0.001428571 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.005255967
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 700"
RAW_1 vs RAW_2 
       0.00125 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.004600485
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 800"
RAW_1 vs RAW_2 
   0.001111111 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.004090367
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 900"
RAW_1 vs RAW_2 
         0.001 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.003682084
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 1000"
RAW_1 vs RAW_2 
  0.0009090909 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00334791
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 1100"
RAW_1 vs RAW_2 
  0.0008333333 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.003069346
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 1200"
RAW_1 vs RAW_2 
  0.0007692308 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002833577
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 1300"
RAW_1 vs RAW_2 
  0.0007142857 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002631446
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 1400"
RAW_1 vs RAW_2 
  0.0006666667 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002456231
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 1500"
RAW_1 vs RAW_2 
      0.000625 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002302894
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 1600"
RAW_1 vs RAW_2 
  0.0005882353 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002167576
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 1700"
RAW_1 vs RAW_2 
  0.0005555556 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002047279
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 1800"
RAW_1 vs RAW_2 
  0.0005263158 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001939632
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 1900"
RAW_1 vs RAW_2 
         5e-04 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00184274
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 2000"
RAW_1 vs RAW_2 
  0.0004761905 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001755067
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 2100"
RAW_1 vs RAW_2 
  0.0004545455 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001675358
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 2200"
RAW_1 vs RAW_2 
  0.0004347826 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001602575
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 2300"
RAW_1 vs RAW_2 
  0.0004166667 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001535852
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 2400"
RAW_1 vs RAW_2 
         4e-04 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001474464
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 2500"
RAW_1 vs RAW_2 
  0.0003846154 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001417794
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 2600"
RAW_1 vs RAW_2 
  0.0003703704 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001365319
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 2700"
RAW_1 vs RAW_2 
  0.0003571429 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001316589
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 2800"
RAW_1 vs RAW_2 
  0.0003448276 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001271219
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 2900"
RAW_1 vs RAW_2 
  0.0003333333 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001228871
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 3000"
RAW_1 vs RAW_2 
  0.0003225806 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001189253
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 3100"
RAW_1 vs RAW_2 
     0.0003125 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001152111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 3200"
RAW_1 vs RAW_2 
  0.0003030303 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001117218
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 3300"
RAW_1 vs RAW_2 
  0.0002941176 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001084376
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 3400"
RAW_1 vs RAW_2 
  0.0002857143 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00105341
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 3500"
RAW_1 vs RAW_2 
  0.0002777778 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001024164
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 3600"
RAW_1 vs RAW_2 
  0.0002702703 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009964976
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 3700"
RAW_1 vs RAW_2 
  0.0002631579 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009702867
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 3800"
RAW_1 vs RAW_2 
  0.0002564103 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009454193
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 3900"
RAW_1 vs RAW_2 
       0.00025 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009217947
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 4000"
RAW_1 vs RAW_2 
  0.0002439024 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008993221
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 4100"
RAW_1 vs RAW_2 
  0.0002380952 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.000877919
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 4200"
RAW_1 vs RAW_2 
  0.0002325581 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008575111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 4300"
RAW_1 vs RAW_2 
  0.0002272727 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008380304
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 4400"
RAW_1 vs RAW_2 
  0.0002222222 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008194151
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 4500"
RAW_1 vs RAW_2 
  0.0002173913 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008016089
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 4600"
RAW_1 vs RAW_2 
   0.000212766 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00078456
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 4700"
RAW_1 vs RAW_2 
  0.0002083333 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007682213
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 4800"
RAW_1 vs RAW_2 
  0.0002040816 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007525492
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 4900"
RAW_1 vs RAW_2 
         2e-04 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007375038
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 5000"
RAW_1 vs RAW_2 
  0.0001960784 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007230482
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 7:8. Now real iteration: . Now real iteration: 5100"
RAW_1 vs RAW_2 
  0.0001923077 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007091483
[1] "0  Hits so far"
[1] "UMAPdata clustering, mlp using  3:4 and 11:12. Now real iteration:"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 11:12. Now real iteration: . Now real iteration: 100"
RAW_1 vs RAW_2 
          0.02 
           RAW_1 vs RAW_2
CI95%-low     0.005475566
CI95%-high    0.050413609
[1] "4  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 11:12. Now real iteration: . Now real iteration: 200"
RAW_1 vs RAW_2 
          0.02 
           RAW_1 vs RAW_2
CI95%-low     0.007374162
CI95%-high    0.043021083
[1] "6  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 11:12. Now real iteration: . Now real iteration: 300"
RAW_1 vs RAW_2 
          0.02 
           RAW_1 vs RAW_2
CI95%-low      0.00867317
CI95%-high     0.03902628
[1] "8  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 11:12. Now real iteration: . Now real iteration: 400"
RAW_1 vs RAW_2 
          0.02 
           RAW_1 vs RAW_2
CI95%-low      0.00963143
CI95%-high     0.03647241
[1] "10  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 11:12. Now real iteration: . Now real iteration: 500"
RAW_1 vs RAW_2 
          0.02 
           RAW_1 vs RAW_2
CI95%-low      0.01037595
CI95%-high     0.03467516
[1] "12  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 11:12. Now real iteration: . Now real iteration: 600"
RAW_1 vs RAW_2 
          0.02 
           RAW_1 vs RAW_2
CI95%-low      0.01097627
CI95%-high     0.03332911
[1] "14  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 11:12. Now real iteration: . Now real iteration: 700"
RAW_1 vs RAW_2 
          0.02 
           RAW_1 vs RAW_2
CI95%-low      0.01147388
CI95%-high     0.03227599
[1] "16  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 11:12. Now real iteration: . Now real iteration: 800"
RAW_1 vs RAW_2 
          0.02 
           RAW_1 vs RAW_2
CI95%-low      0.01189528
CI95%-high     0.03142500
[1] "18  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 11:12. Now real iteration: . Now real iteration: 900"
RAW_1 vs RAW_2 
          0.02 
           RAW_1 vs RAW_2
CI95%-low      0.01225827
CI95%-high     0.03072003
[1] "20  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 11:12. Now real iteration: . Now real iteration: 1000"
RAW_1 vs RAW_2 
          0.02 
           RAW_1 vs RAW_2
CI95%-low      0.01257529
CI95%-high     0.03012439
[1] "22  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 11:12. Now real iteration: . Now real iteration: 1100"
RAW_1 vs RAW_2 
          0.02 
           RAW_1 vs RAW_2
CI95%-low      0.01285538
CI95%-high     0.02961300
[1] "24  Hits so far"

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration:"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 100"
RAW_1 vs RAW_2 
         0.005 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.01827534
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 200"
RAW_1 vs RAW_2 
   0.003333333 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.01222097
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 300"
RAW_1 vs RAW_2 
        0.0025 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.009179805
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 400"
RAW_1 vs RAW_2 
         0.002 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00735061
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 500"
RAW_1 vs RAW_2 
   0.001666667 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.006129271
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 600"
RAW_1 vs RAW_2 
   0.001428571 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.005255967
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 700"
RAW_1 vs RAW_2 
       0.00125 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.004600485
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 800"
RAW_1 vs RAW_2 
   0.001111111 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.004090367
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 900"
RAW_1 vs RAW_2 
         0.001 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.003682084
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 1000"
RAW_1 vs RAW_2 
  0.0009090909 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00334791
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 1100"
RAW_1 vs RAW_2 
  0.0008333333 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.003069346
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 1200"
RAW_1 vs RAW_2 
  0.0007692308 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002833577
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 1300"
RAW_1 vs RAW_2 
  0.0007142857 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002631446
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 1400"
RAW_1 vs RAW_2 
  0.0006666667 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002456231
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 1500"
RAW_1 vs RAW_2 
      0.000625 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002302894
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 1600"
RAW_1 vs RAW_2 
  0.0005882353 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002167576
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 1700"
RAW_1 vs RAW_2 
  0.0005555556 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002047279
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 1800"
RAW_1 vs RAW_2 
  0.0005263158 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001939632
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 1900"
RAW_1 vs RAW_2 
         5e-04 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00184274
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 2000"
RAW_1 vs RAW_2 
  0.0004761905 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001755067
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 2100"
RAW_1 vs RAW_2 
  0.0004545455 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001675358
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 2200"
RAW_1 vs RAW_2 
  0.0004347826 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001602575
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 2300"
RAW_1 vs RAW_2 
  0.0004166667 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001535852
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 2400"
RAW_1 vs RAW_2 
         4e-04 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001474464
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 2500"
RAW_1 vs RAW_2 
  0.0003846154 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001417794
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 2600"
RAW_1 vs RAW_2 
  0.0003703704 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001365319
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 2700"
RAW_1 vs RAW_2 
  0.0003571429 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001316589
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 2800"
RAW_1 vs RAW_2 
  0.0003448276 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001271219
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 2900"
RAW_1 vs RAW_2 
  0.0003333333 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001228871
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 3000"
RAW_1 vs RAW_2 
  0.0003225806 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001189253
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 3100"
RAW_1 vs RAW_2 
     0.0003125 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001152111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 3200"
RAW_1 vs RAW_2 
  0.0003030303 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001117218
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 3300"
RAW_1 vs RAW_2 
  0.0002941176 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001084376
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 3400"
RAW_1 vs RAW_2 
  0.0002857143 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00105341
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 3500"
RAW_1 vs RAW_2 
  0.0002777778 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001024164
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 3600"
RAW_1 vs RAW_2 
  0.0002702703 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009964976
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 3700"
RAW_1 vs RAW_2 
  0.0002631579 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009702867
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 3800"
RAW_1 vs RAW_2 
  0.0002564103 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009454193
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 3900"
RAW_1 vs RAW_2 
       0.00025 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009217947
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 4000"
RAW_1 vs RAW_2 
  0.0002439024 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008993221
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 4100"
RAW_1 vs RAW_2 
  0.0002380952 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.000877919
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 4200"
RAW_1 vs RAW_2 
  0.0002325581 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008575111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 4300"
RAW_1 vs RAW_2 
  0.0002272727 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008380304
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 4400"
RAW_1 vs RAW_2 
  0.0002222222 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008194151
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 4500"
RAW_1 vs RAW_2 
  0.0002173913 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008016089
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 4600"
RAW_1 vs RAW_2 
   0.000212766 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00078456
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 4700"
RAW_1 vs RAW_2 
  0.0002083333 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007682213
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 4800"
RAW_1 vs RAW_2 
  0.0002040816 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007525492
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 4900"
RAW_1 vs RAW_2 
         2e-04 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007375038
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 5000"
RAW_1 vs RAW_2 
  0.0001960784 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007230482
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 15:16. Now real iteration: . Now real iteration: 5100"
RAW_1 vs RAW_2 
  0.0001923077 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007091483
[1] "0  Hits so far"

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration:"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 100"
RAW_1 vs RAW_2 
         0.005 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.01827534
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 200"
RAW_1 vs RAW_2 
   0.003333333 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.01222097
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 300"
RAW_1 vs RAW_2 
        0.0025 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.009179805
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 400"
RAW_1 vs RAW_2 
         0.002 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00735061
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 500"
RAW_1 vs RAW_2 
   0.001666667 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.006129271
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 600"
RAW_1 vs RAW_2 
   0.001428571 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.005255967
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 700"
RAW_1 vs RAW_2 
       0.00125 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.004600485
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 800"
RAW_1 vs RAW_2 
   0.001111111 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.004090367
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 900"
RAW_1 vs RAW_2 
         0.001 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.003682084
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 1000"
RAW_1 vs RAW_2 
  0.0009090909 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00334791
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 1100"
RAW_1 vs RAW_2 
  0.0008333333 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.003069346
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 1200"
RAW_1 vs RAW_2 
  0.0007692308 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002833577
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 1300"
RAW_1 vs RAW_2 
  0.0007142857 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002631446
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 1400"
RAW_1 vs RAW_2 
  0.0006666667 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002456231
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 1500"
RAW_1 vs RAW_2 
      0.000625 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002302894
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 1600"
RAW_1 vs RAW_2 
  0.0005882353 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002167576
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 1700"
RAW_1 vs RAW_2 
  0.0005555556 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002047279
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 1800"
RAW_1 vs RAW_2 
  0.0005263158 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001939632
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 1900"
RAW_1 vs RAW_2 
         5e-04 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00184274
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 2000"
RAW_1 vs RAW_2 
  0.0004761905 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001755067
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 2100"
RAW_1 vs RAW_2 
  0.0004545455 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001675358
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 2200"
RAW_1 vs RAW_2 
  0.0004347826 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001602575
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 2300"
RAW_1 vs RAW_2 
  0.0004166667 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001535852
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 2400"
RAW_1 vs RAW_2 
         4e-04 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001474464
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 2500"
RAW_1 vs RAW_2 
  0.0003846154 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001417794
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 2600"
RAW_1 vs RAW_2 
  0.0003703704 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001365319
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 2700"
RAW_1 vs RAW_2 
  0.0003571429 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001316589
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 2800"
RAW_1 vs RAW_2 
  0.0003448276 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001271219
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 2900"
RAW_1 vs RAW_2 
  0.0003333333 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001228871
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 3000"
RAW_1 vs RAW_2 
  0.0003225806 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001189253
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 3100"
RAW_1 vs RAW_2 
     0.0003125 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001152111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 3200"
RAW_1 vs RAW_2 
  0.0003030303 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001117218
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 3300"
RAW_1 vs RAW_2 
  0.0002941176 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001084376
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 3400"
RAW_1 vs RAW_2 
  0.0002857143 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00105341
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 3500"
RAW_1 vs RAW_2 
  0.0002777778 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001024164
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 3600"
RAW_1 vs RAW_2 
  0.0002702703 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009964976
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 3700"
RAW_1 vs RAW_2 
  0.0002631579 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009702867
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 3800"
RAW_1 vs RAW_2 
  0.0002564103 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009454193
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 3900"
RAW_1 vs RAW_2 
       0.00025 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009217947
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 4000"
RAW_1 vs RAW_2 
  0.0002439024 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008993221
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 4100"
RAW_1 vs RAW_2 
  0.0002380952 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.000877919
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 4200"
RAW_1 vs RAW_2 
  0.0002325581 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008575111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 4300"
RAW_1 vs RAW_2 
  0.0002272727 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008380304
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 4400"
RAW_1 vs RAW_2 
  0.0002222222 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008194151
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 4500"
RAW_1 vs RAW_2 
  0.0002173913 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008016089
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 4600"
RAW_1 vs RAW_2 
   0.000212766 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00078456
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 4700"
RAW_1 vs RAW_2 
  0.0002083333 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007682213
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 4800"
RAW_1 vs RAW_2 
  0.0002040816 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007525492
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 4900"
RAW_1 vs RAW_2 
         2e-04 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007375038
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 5000"
RAW_1 vs RAW_2 
  0.0001960784 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007230482
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  3:4 and 19:20. Now real iteration: . Now real iteration: 5100"
RAW_1 vs RAW_2 
  0.0001923077 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007091483
[1] "0  Hits so far"

[1] "UMAPdata clustering, mlp using  7:8 and 11:12. Now real iteration:"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 11:12. Now real iteration: . Now real iteration: 100"
RAW_1 vs RAW_2 
          0.02 
           RAW_1 vs RAW_2
CI95%-low     0.005475566
CI95%-high    0.050413609
[1] "4  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 11:12. Now real iteration: . Now real iteration: 200"
RAW_1 vs RAW_2 
          0.02 
           RAW_1 vs RAW_2
CI95%-low     0.007374162
CI95%-high    0.043021083
[1] "6  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 11:12. Now real iteration: . Now real iteration: 300"
RAW_1 vs RAW_2 
          0.02 
           RAW_1 vs RAW_2
CI95%-low      0.00867317
CI95%-high     0.03902628
[1] "8  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 11:12. Now real iteration: . Now real iteration: 400"
RAW_1 vs RAW_2 
          0.02 
           RAW_1 vs RAW_2
CI95%-low      0.00963143
CI95%-high     0.03647241
[1] "10  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 11:12. Now real iteration: . Now real iteration: 500"
RAW_1 vs RAW_2 
          0.02 
           RAW_1 vs RAW_2
CI95%-low      0.01037595
CI95%-high     0.03467516
[1] "12  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 11:12. Now real iteration: . Now real iteration: 600"
RAW_1 vs RAW_2 
          0.02 
           RAW_1 vs RAW_2
CI95%-low      0.01097627
CI95%-high     0.03332911
[1] "14  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 11:12. Now real iteration: . Now real iteration: 700"
RAW_1 vs RAW_2 
          0.02 
           RAW_1 vs RAW_2
CI95%-low      0.01147388
CI95%-high     0.03227599
[1] "16  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 11:12. Now real iteration: . Now real iteration: 800"
RAW_1 vs RAW_2 
          0.02 
           RAW_1 vs RAW_2
CI95%-low      0.01189528
CI95%-high     0.03142500
[1] "18  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 11:12. Now real iteration: . Now real iteration: 900"
RAW_1 vs RAW_2 
          0.02 
           RAW_1 vs RAW_2
CI95%-low      0.01225827
CI95%-high     0.03072003
[1] "20  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 11:12. Now real iteration: . Now real iteration: 1000"
RAW_1 vs RAW_2 
          0.02 
           RAW_1 vs RAW_2
CI95%-low      0.01257529
CI95%-high     0.03012439
[1] "22  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 11:12. Now real iteration: . Now real iteration: 1100"
RAW_1 vs RAW_2 
          0.02 
           RAW_1 vs RAW_2
CI95%-low      0.01285538
CI95%-high     0.02961300
[1] "24  Hits so far"

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration:"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 100"
RAW_1 vs RAW_2 
         0.005 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.01827534
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 200"
RAW_1 vs RAW_2 
   0.003333333 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.01222097
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 300"
RAW_1 vs RAW_2 
        0.0025 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.009179805
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 400"
RAW_1 vs RAW_2 
         0.002 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00735061
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 500"
RAW_1 vs RAW_2 
   0.001666667 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.006129271
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 600"
RAW_1 vs RAW_2 
   0.001428571 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.005255967
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 700"
RAW_1 vs RAW_2 
       0.00125 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.004600485
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 800"
RAW_1 vs RAW_2 
   0.001111111 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.004090367
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 900"
RAW_1 vs RAW_2 
         0.001 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.003682084
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 1000"
RAW_1 vs RAW_2 
  0.0009090909 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00334791
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 1100"
RAW_1 vs RAW_2 
  0.0008333333 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.003069346
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 1200"
RAW_1 vs RAW_2 
  0.0007692308 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002833577
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 1300"
RAW_1 vs RAW_2 
  0.0007142857 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002631446
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 1400"
RAW_1 vs RAW_2 
  0.0006666667 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002456231
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 1500"
RAW_1 vs RAW_2 
      0.000625 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002302894
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 1600"
RAW_1 vs RAW_2 
  0.0005882353 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002167576
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 1700"
RAW_1 vs RAW_2 
  0.0005555556 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002047279
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 1800"
RAW_1 vs RAW_2 
  0.0005263158 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001939632
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 1900"
RAW_1 vs RAW_2 
         5e-04 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00184274
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 2000"
RAW_1 vs RAW_2 
  0.0004761905 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001755067
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 2100"
RAW_1 vs RAW_2 
  0.0004545455 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001675358
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 2200"
RAW_1 vs RAW_2 
  0.0004347826 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001602575
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 2300"
RAW_1 vs RAW_2 
  0.0004166667 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001535852
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 2400"
RAW_1 vs RAW_2 
         4e-04 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001474464
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 2500"
RAW_1 vs RAW_2 
  0.0003846154 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001417794
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 2600"
RAW_1 vs RAW_2 
  0.0003703704 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001365319
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 2700"
RAW_1 vs RAW_2 
  0.0003571429 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001316589
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 2800"
RAW_1 vs RAW_2 
  0.0003448276 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001271219
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 2900"
RAW_1 vs RAW_2 
  0.0003333333 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001228871
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 3000"
RAW_1 vs RAW_2 
  0.0003225806 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001189253
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 3100"
RAW_1 vs RAW_2 
     0.0003125 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001152111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 3200"
RAW_1 vs RAW_2 
  0.0003030303 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001117218
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 3300"
RAW_1 vs RAW_2 
  0.0002941176 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001084376
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 3400"
RAW_1 vs RAW_2 
  0.0002857143 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00105341
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 3500"
RAW_1 vs RAW_2 
  0.0002777778 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001024164
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 3600"
RAW_1 vs RAW_2 
  0.0002702703 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009964976
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 3700"
RAW_1 vs RAW_2 
  0.0002631579 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009702867
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 3800"
RAW_1 vs RAW_2 
  0.0002564103 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009454193
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 3900"
RAW_1 vs RAW_2 
       0.00025 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009217947
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 4000"
RAW_1 vs RAW_2 
  0.0002439024 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008993221
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 4100"
RAW_1 vs RAW_2 
  0.0002380952 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.000877919
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 4200"
RAW_1 vs RAW_2 
  0.0002325581 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008575111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 4300"
RAW_1 vs RAW_2 
  0.0002272727 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008380304
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 4400"
RAW_1 vs RAW_2 
  0.0002222222 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008194151
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 4500"
RAW_1 vs RAW_2 
  0.0002173913 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008016089
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 4600"
RAW_1 vs RAW_2 
   0.000212766 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00078456
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 4700"
RAW_1 vs RAW_2 
  0.0002083333 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007682213
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 4800"
RAW_1 vs RAW_2 
  0.0002040816 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007525492
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 4900"
RAW_1 vs RAW_2 
         2e-04 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007375038
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 5000"
RAW_1 vs RAW_2 
  0.0001960784 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007230482
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 15:16. Now real iteration: . Now real iteration: 5100"
RAW_1 vs RAW_2 
  0.0001923077 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007091483
[1] "0  Hits so far"

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration:"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 100"
RAW_1 vs RAW_2 
         0.005 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.01827534
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 200"
RAW_1 vs RAW_2 
   0.003333333 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.01222097
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 300"
RAW_1 vs RAW_2 
        0.0025 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.009179805
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 400"
RAW_1 vs RAW_2 
         0.002 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00735061
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 500"
RAW_1 vs RAW_2 
   0.001666667 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.006129271
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 600"
RAW_1 vs RAW_2 
   0.001428571 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.005255967
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 700"
RAW_1 vs RAW_2 
       0.00125 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.004600485
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 800"
RAW_1 vs RAW_2 
   0.001111111 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.004090367
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 900"
RAW_1 vs RAW_2 
         0.001 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.003682084
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 1000"
RAW_1 vs RAW_2 
  0.0009090909 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00334791
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 1100"
RAW_1 vs RAW_2 
  0.0008333333 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.003069346
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 1200"
RAW_1 vs RAW_2 
  0.0007692308 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002833577
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 1300"
RAW_1 vs RAW_2 
  0.0007142857 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002631446
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 1400"
RAW_1 vs RAW_2 
  0.0006666667 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002456231
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 1500"
RAW_1 vs RAW_2 
      0.000625 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002302894
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 1600"
RAW_1 vs RAW_2 
  0.0005882353 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002167576
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 1700"
RAW_1 vs RAW_2 
  0.0005555556 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002047279
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 1800"
RAW_1 vs RAW_2 
  0.0005263158 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001939632
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 1900"
RAW_1 vs RAW_2 
         5e-04 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00184274
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 2000"
RAW_1 vs RAW_2 
  0.0004761905 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001755067
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 2100"
RAW_1 vs RAW_2 
  0.0004545455 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001675358
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 2200"
RAW_1 vs RAW_2 
  0.0004347826 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001602575
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 2300"
RAW_1 vs RAW_2 
  0.0004166667 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001535852
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 2400"
RAW_1 vs RAW_2 
         4e-04 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001474464
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 2500"
RAW_1 vs RAW_2 
  0.0003846154 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001417794
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 2600"
RAW_1 vs RAW_2 
  0.0003703704 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001365319
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 2700"
RAW_1 vs RAW_2 
  0.0003571429 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001316589
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 2800"
RAW_1 vs RAW_2 
  0.0003448276 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001271219
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 2900"
RAW_1 vs RAW_2 
  0.0003333333 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001228871
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 3000"
RAW_1 vs RAW_2 
  0.0003225806 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001189253
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 3100"
RAW_1 vs RAW_2 
     0.0003125 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001152111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 3200"
RAW_1 vs RAW_2 
  0.0003030303 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001117218
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 3300"
RAW_1 vs RAW_2 
  0.0002941176 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001084376
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 3400"
RAW_1 vs RAW_2 
  0.0002857143 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00105341
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 3500"
RAW_1 vs RAW_2 
  0.0002777778 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001024164
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 3600"
RAW_1 vs RAW_2 
  0.0002702703 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009964976
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 3700"
RAW_1 vs RAW_2 
  0.0002631579 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009702867
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 3800"
RAW_1 vs RAW_2 
  0.0002564103 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009454193
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 3900"
RAW_1 vs RAW_2 
       0.00025 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009217947
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 4000"
RAW_1 vs RAW_2 
  0.0002439024 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008993221
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 4100"
RAW_1 vs RAW_2 
  0.0002380952 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.000877919
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 4200"
RAW_1 vs RAW_2 
  0.0002325581 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008575111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 4300"
RAW_1 vs RAW_2 
  0.0002272727 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008380304
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 4400"
RAW_1 vs RAW_2 
  0.0002222222 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008194151
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 4500"
RAW_1 vs RAW_2 
  0.0002173913 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008016089
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 4600"
RAW_1 vs RAW_2 
   0.000212766 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00078456
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 4700"
RAW_1 vs RAW_2 
  0.0002083333 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007682213
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 4800"
RAW_1 vs RAW_2 
  0.0002040816 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007525492
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 4900"
RAW_1 vs RAW_2 
         2e-04 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007375038
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 5000"
RAW_1 vs RAW_2 
  0.0001960784 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007230482
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  7:8 and 19:20. Now real iteration: . Now real iteration: 5100"
RAW_1 vs RAW_2 
  0.0001923077 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007091483
[1] "0  Hits so far"

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration:"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 100"
RAW_1 vs RAW_2 
         0.005 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.01827534
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 200"
RAW_1 vs RAW_2 
   0.003333333 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.01222097
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 300"
RAW_1 vs RAW_2 
        0.0025 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.009179805
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 400"
RAW_1 vs RAW_2 
         0.002 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00735061
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 500"
RAW_1 vs RAW_2 
   0.001666667 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.006129271
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 600"
RAW_1 vs RAW_2 
   0.001428571 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.005255967
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 700"
RAW_1 vs RAW_2 
       0.00125 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.004600485
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 800"
RAW_1 vs RAW_2 
   0.001111111 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.004090367
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 900"
RAW_1 vs RAW_2 
         0.001 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.003682084
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 1000"
RAW_1 vs RAW_2 
  0.0009090909 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00334791
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 1100"
RAW_1 vs RAW_2 
  0.0008333333 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.003069346
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 1200"
RAW_1 vs RAW_2 
  0.0007692308 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002833577
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 1300"
RAW_1 vs RAW_2 
  0.0007142857 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002631446
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 1400"
RAW_1 vs RAW_2 
  0.0006666667 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002456231
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 1500"
RAW_1 vs RAW_2 
      0.000625 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002302894
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 1600"
RAW_1 vs RAW_2 
  0.0005882353 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002167576
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 1700"
RAW_1 vs RAW_2 
  0.0005555556 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002047279
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 1800"
RAW_1 vs RAW_2 
  0.0005263158 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001939632
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 1900"
RAW_1 vs RAW_2 
         5e-04 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00184274
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 2000"
RAW_1 vs RAW_2 
  0.0004761905 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001755067
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 2100"
RAW_1 vs RAW_2 
  0.0004545455 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001675358
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 2200"
RAW_1 vs RAW_2 
  0.0004347826 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001602575
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 2300"
RAW_1 vs RAW_2 
  0.0004166667 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001535852
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 2400"
RAW_1 vs RAW_2 
         4e-04 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001474464
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 2500"
RAW_1 vs RAW_2 
  0.0003846154 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001417794
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 2600"
RAW_1 vs RAW_2 
  0.0003703704 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001365319
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 2700"
RAW_1 vs RAW_2 
  0.0003571429 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001316589
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 2800"
RAW_1 vs RAW_2 
  0.0003448276 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001271219
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 2900"
RAW_1 vs RAW_2 
  0.0003333333 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001228871
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 3000"
RAW_1 vs RAW_2 
  0.0003225806 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001189253
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 3100"
RAW_1 vs RAW_2 
     0.0003125 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001152111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 3200"
RAW_1 vs RAW_2 
  0.0003030303 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001117218
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 3300"
RAW_1 vs RAW_2 
  0.0002941176 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001084376
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 3400"
RAW_1 vs RAW_2 
  0.0002857143 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00105341
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 3500"
RAW_1 vs RAW_2 
  0.0002777778 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001024164
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 3600"
RAW_1 vs RAW_2 
  0.0002702703 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009964976
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 3700"
RAW_1 vs RAW_2 
  0.0002631579 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009702867
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 3800"
RAW_1 vs RAW_2 
  0.0002564103 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009454193
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 3900"
RAW_1 vs RAW_2 
       0.00025 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009217947
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 4000"
RAW_1 vs RAW_2 
  0.0002439024 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008993221
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 4100"
RAW_1 vs RAW_2 
  0.0002380952 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.000877919
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 4200"
RAW_1 vs RAW_2 
  0.0002325581 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008575111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 4300"
RAW_1 vs RAW_2 
  0.0002272727 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008380304
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 4400"
RAW_1 vs RAW_2 
  0.0002222222 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008194151
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 4500"
RAW_1 vs RAW_2 
  0.0002173913 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008016089
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 4600"
RAW_1 vs RAW_2 
   0.000212766 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00078456
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 4700"
RAW_1 vs RAW_2 
  0.0002083333 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007682213
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 4800"
RAW_1 vs RAW_2 
  0.0002040816 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007525492
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 4900"
RAW_1 vs RAW_2 
         2e-04 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007375038
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 5000"
RAW_1 vs RAW_2 
  0.0001960784 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007230482
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 15:16. Now real iteration: . Now real iteration: 5100"
RAW_1 vs RAW_2 
  0.0001923077 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007091483
[1] "0  Hits so far"

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration:"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 100"
RAW_1 vs RAW_2 
         0.005 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.01827534
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 200"
RAW_1 vs RAW_2 
   0.003333333 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.01222097
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 300"
RAW_1 vs RAW_2 
        0.0025 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.009179805
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 400"
RAW_1 vs RAW_2 
         0.002 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00735061
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 500"
RAW_1 vs RAW_2 
   0.001666667 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.006129271
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 600"
RAW_1 vs RAW_2 
   0.001428571 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.005255967
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 700"
RAW_1 vs RAW_2 
       0.00125 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.004600485
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 800"
RAW_1 vs RAW_2 
   0.001111111 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.004090367
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 900"
RAW_1 vs RAW_2 
         0.001 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.003682084
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 1000"
RAW_1 vs RAW_2 
  0.0009090909 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00334791
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 1100"
RAW_1 vs RAW_2 
  0.0008333333 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.003069346
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 1200"
RAW_1 vs RAW_2 
  0.0007692308 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002833577
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 1300"
RAW_1 vs RAW_2 
  0.0007142857 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002631446
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 1400"
RAW_1 vs RAW_2 
  0.0006666667 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002456231
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 1500"
RAW_1 vs RAW_2 
      0.000625 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002302894
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 1600"
RAW_1 vs RAW_2 
  0.0005882353 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002167576
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 1700"
RAW_1 vs RAW_2 
  0.0005555556 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002047279
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 1800"
RAW_1 vs RAW_2 
  0.0005263158 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001939632
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 1900"
RAW_1 vs RAW_2 
         5e-04 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00184274
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 2000"
RAW_1 vs RAW_2 
  0.0004761905 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001755067
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 2100"
RAW_1 vs RAW_2 
  0.0004545455 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001675358
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 2200"
RAW_1 vs RAW_2 
  0.0004347826 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001602575
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 2300"
RAW_1 vs RAW_2 
  0.0004166667 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001535852
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 2400"
RAW_1 vs RAW_2 
         4e-04 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001474464
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 2500"
RAW_1 vs RAW_2 
  0.0003846154 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001417794
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 2600"
RAW_1 vs RAW_2 
  0.0003703704 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001365319
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 2700"
RAW_1 vs RAW_2 
  0.0003571429 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001316589
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 2800"
RAW_1 vs RAW_2 
  0.0003448276 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001271219
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 2900"
RAW_1 vs RAW_2 
  0.0003333333 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001228871
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 3000"
RAW_1 vs RAW_2 
  0.0003225806 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001189253
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 3100"
RAW_1 vs RAW_2 
     0.0003125 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001152111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 3200"
RAW_1 vs RAW_2 
  0.0003030303 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001117218
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 3300"
RAW_1 vs RAW_2 
  0.0002941176 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001084376
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 3400"
RAW_1 vs RAW_2 
  0.0002857143 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00105341
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 3500"
RAW_1 vs RAW_2 
  0.0002777778 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001024164
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 3600"
RAW_1 vs RAW_2 
  0.0002702703 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009964976
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 3700"
RAW_1 vs RAW_2 
  0.0002631579 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009702867
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 3800"
RAW_1 vs RAW_2 
  0.0002564103 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009454193
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 3900"
RAW_1 vs RAW_2 
       0.00025 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009217947
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 4000"
RAW_1 vs RAW_2 
  0.0002439024 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008993221
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 4100"
RAW_1 vs RAW_2 
  0.0002380952 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.000877919
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 4200"
RAW_1 vs RAW_2 
  0.0002325581 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008575111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 4300"
RAW_1 vs RAW_2 
  0.0002272727 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008380304
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 4400"
RAW_1 vs RAW_2 
  0.0002222222 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008194151
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 4500"
RAW_1 vs RAW_2 
  0.0002173913 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008016089
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 4600"
RAW_1 vs RAW_2 
   0.000212766 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00078456
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 4700"
RAW_1 vs RAW_2 
  0.0002083333 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007682213
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 4800"
RAW_1 vs RAW_2 
  0.0002040816 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007525492
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 4900"
RAW_1 vs RAW_2 
         2e-04 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007375038
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 5000"
RAW_1 vs RAW_2 
  0.0001960784 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007230482
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  11:12 and 19:20. Now real iteration: . Now real iteration: 5100"
RAW_1 vs RAW_2 
  0.0001923077 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007091483
[1] "0  Hits so far"

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration:"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2
100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 100"
RAW_1 vs RAW_2 
         0.005 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.01827534
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 200"
RAW_1 vs RAW_2 
   0.003333333 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.01222097
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 300"
RAW_1 vs RAW_2 
        0.0025 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.009179805
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 400"
RAW_1 vs RAW_2 
         0.002 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00735061
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 500"
RAW_1 vs RAW_2 
   0.001666667 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.006129271
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 600"
RAW_1 vs RAW_2 
   0.001428571 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.005255967
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 700"
RAW_1 vs RAW_2 
       0.00125 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.004600485
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 800"
RAW_1 vs RAW_2 
   0.001111111 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.004090367
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 900"
RAW_1 vs RAW_2 
         0.001 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.003682084
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 1000"
RAW_1 vs RAW_2 
  0.0009090909 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00334791
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 1100"
RAW_1 vs RAW_2 
  0.0008333333 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.003069346
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 1200"
RAW_1 vs RAW_2 
  0.0007692308 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002833577
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 1300"
RAW_1 vs RAW_2 
  0.0007142857 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002631446
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 1400"
RAW_1 vs RAW_2 
  0.0006666667 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002456231
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 1500"
RAW_1 vs RAW_2 
      0.000625 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002302894
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 1600"
RAW_1 vs RAW_2 
  0.0005882353 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002167576
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 1700"
RAW_1 vs RAW_2 
  0.0005555556 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.002047279
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 1800"
RAW_1 vs RAW_2 
  0.0005263158 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001939632
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 1900"
RAW_1 vs RAW_2 
         5e-04 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00184274
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 2000"
RAW_1 vs RAW_2 
  0.0004761905 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001755067
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 2100"
RAW_1 vs RAW_2 
  0.0004545455 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001675358
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 2200"
RAW_1 vs RAW_2 
  0.0004347826 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001602575
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 2300"
RAW_1 vs RAW_2 
  0.0004166667 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001535852
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 2400"
RAW_1 vs RAW_2 
         4e-04 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001474464
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 2500"
RAW_1 vs RAW_2 
  0.0003846154 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001417794
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 2600"
RAW_1 vs RAW_2 
  0.0003703704 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001365319
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 2700"
RAW_1 vs RAW_2 
  0.0003571429 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001316589
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 2800"
RAW_1 vs RAW_2 
  0.0003448276 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001271219
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 2900"
RAW_1 vs RAW_2 
  0.0003333333 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001228871
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 3000"
RAW_1 vs RAW_2 
  0.0003225806 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001189253
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 3100"
RAW_1 vs RAW_2 
     0.0003125 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001152111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 3200"
RAW_1 vs RAW_2 
  0.0003030303 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001117218
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 3300"
RAW_1 vs RAW_2 
  0.0002941176 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001084376
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 3400"
RAW_1 vs RAW_2 
  0.0002857143 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00105341
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 3500"
RAW_1 vs RAW_2 
  0.0002777778 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.001024164
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 3600"
RAW_1 vs RAW_2 
  0.0002702703 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009964976
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 3700"
RAW_1 vs RAW_2 
  0.0002631579 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009702867
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 3800"
RAW_1 vs RAW_2 
  0.0002564103 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009454193
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 3900"
RAW_1 vs RAW_2 
       0.00025 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0009217947
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 4000"
RAW_1 vs RAW_2 
  0.0002439024 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008993221
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 4100"
RAW_1 vs RAW_2 
  0.0002380952 
           RAW_1 vs RAW_2
CI95%-low     0.000000000
CI95%-high    0.000877919
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 4200"
RAW_1 vs RAW_2 
  0.0002325581 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008575111
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 4300"
RAW_1 vs RAW_2 
  0.0002272727 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008380304
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 4400"
RAW_1 vs RAW_2 
  0.0002222222 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008194151
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 4500"
RAW_1 vs RAW_2 
  0.0002173913 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0008016089
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 4600"
RAW_1 vs RAW_2 
   0.000212766 
           RAW_1 vs RAW_2
CI95%-low      0.00000000
CI95%-high     0.00078456
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 4700"
RAW_1 vs RAW_2 
  0.0002083333 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007682213
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 4800"
RAW_1 vs RAW_2 
  0.0002040816 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007525492
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 4900"
RAW_1 vs RAW_2 
         2e-04 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007375038
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 5000"
RAW_1 vs RAW_2 
  0.0001960784 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007230482
[1] "0  Hits so far"

100 iterations were sucessfully completed for comparison RAW_1 vs RAW_2

[1] "UMAPdata clustering, mlp using  15:16 and 19:20. Now real iteration: . Now real iteration: 5100"
RAW_1 vs RAW_2 
  0.0001923077 
           RAW_1 vs RAW_2
CI95%-low    0.0000000000
CI95%-high   0.0007091483
[1] "0  Hits so far"